155 Data Science jobs in North Carolina
Leader, Data Science
27709 Research Triangle Park, North Carolina
Cisco
Posted 6 days ago
Job Viewed
Job Description
Leader, Data Science
Apply ( Location:RTP, North Carolina, US
+ Alternate LocationSan Jose, CA Internal Only, Atlanta, GA
+ Area of InterestFinance
+ Compensation Range USD - USD
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Big Data, Analytics
+ Job Id
Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.
The application window is expected to close on: 10/17/2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Meet the Team**
Join the Data & Systems Architecture team within Global Procurement Services (GPS), where we design scalable data architecture, build trusted data ecosystems, and implement advanced analytics solutions. Collaborating with cross-functional teams, we deliver insights that enhance decision-making, improve procurement efficiency, and ensure data accuracy. At GPS, we prioritize innovation, teamwork, and excellence, fostering an inclusive environment that supports growth and success.
**Your Impact**
As a Leader, Data Science on the GPS Data & Systems Architecture team, you will lead the development of scalable data platforms and trusted data ecosystems that power strategic decision-making across procurement operations. You'll architect modern data infrastructure, establish data standards, and oversee the deployment of AI-enabled solutions that unlock insights and automation across the enterprise.
**You will:**
Lead the design and implementation of robust, secure, and scalable data infrastructure for procurement analytics
Build end-to-end pipelines and data products to support reporting, forecasting, and AI-powered insights
Guide high-level strategy and hands-on execution for data quality, governance, and compliance
Collaborate with business and engineering partners to align data architecture with enterprise needs
Support the integration of machine learning models and AI tools for use cases like supplier risk, spend forecasting, and process automation
Promote adoption of cloud-native data tools, reusable frameworks, and enterprise-wide best practices
Mentor and grow a high-performing team of data scientists and analysts, fostering development and alignment with business priorities
Communicate technical concepts clearly to executive stakeholders and drive alignment across technical and business teams
Champion a culture of innovation, experimentation, and ownership within the team
**Minimum Qualifications**
+ **Experience** : 15+ years in data infrastructure, analytics engineering, or data architecture roles, preferably within large enterprise environments
+ **Data Architecture & Engineering:** Hands-on expertise with MPP databases (e.g., Snowflake, Redshift, BigQuery), cloud platforms (AWS, Azure, GCP), and scalable data pipelines
+ **Programming & Modeling** : Advanced proficiency in Python and SQL with experience developing analytical models (e.g., regression, time-series, neural networks)
+ **BI & Visualization:** Strong command of tools such as Power BI, AI Analytics tools with proven ability to build data products for broad business consumption
+ **Leadership** : At least 6 + years of experience managing or leading technical teams, with the ability to mentor talent and drive results through collaboration
+ **Governance & Compliance** : Deep understanding of data governance practices, including security, privacy, and lifecycle management
+ **AI/ML Engineering:** Experience integrating AI/ML solutions into production workflows, including foundation models or LLM-based tools
**Preferred Qualifications**
+ Familiarity with unstructured data systems (e.g., MongoDB, Elasticsearch) and vector databases
+ Prior experience supporting procurement, supply chain, or finance domains through data and analytics
+ Master's degree in computer science, Data Engineering, or a related quantitative field
+ Passion for driving innovation, operational efficiency, and continuous improvement using data
+ Knowledge of enterprise systems and financial planning tools.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Apply ( Location:RTP, North Carolina, US
+ Alternate LocationSan Jose, CA Internal Only, Atlanta, GA
+ Area of InterestFinance
+ Compensation Range USD - USD
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Big Data, Analytics
+ Job Id
Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.
The application window is expected to close on: 10/17/2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Meet the Team**
Join the Data & Systems Architecture team within Global Procurement Services (GPS), where we design scalable data architecture, build trusted data ecosystems, and implement advanced analytics solutions. Collaborating with cross-functional teams, we deliver insights that enhance decision-making, improve procurement efficiency, and ensure data accuracy. At GPS, we prioritize innovation, teamwork, and excellence, fostering an inclusive environment that supports growth and success.
**Your Impact**
As a Leader, Data Science on the GPS Data & Systems Architecture team, you will lead the development of scalable data platforms and trusted data ecosystems that power strategic decision-making across procurement operations. You'll architect modern data infrastructure, establish data standards, and oversee the deployment of AI-enabled solutions that unlock insights and automation across the enterprise.
**You will:**
Lead the design and implementation of robust, secure, and scalable data infrastructure for procurement analytics
Build end-to-end pipelines and data products to support reporting, forecasting, and AI-powered insights
Guide high-level strategy and hands-on execution for data quality, governance, and compliance
Collaborate with business and engineering partners to align data architecture with enterprise needs
Support the integration of machine learning models and AI tools for use cases like supplier risk, spend forecasting, and process automation
Promote adoption of cloud-native data tools, reusable frameworks, and enterprise-wide best practices
Mentor and grow a high-performing team of data scientists and analysts, fostering development and alignment with business priorities
Communicate technical concepts clearly to executive stakeholders and drive alignment across technical and business teams
Champion a culture of innovation, experimentation, and ownership within the team
**Minimum Qualifications**
+ **Experience** : 15+ years in data infrastructure, analytics engineering, or data architecture roles, preferably within large enterprise environments
+ **Data Architecture & Engineering:** Hands-on expertise with MPP databases (e.g., Snowflake, Redshift, BigQuery), cloud platforms (AWS, Azure, GCP), and scalable data pipelines
+ **Programming & Modeling** : Advanced proficiency in Python and SQL with experience developing analytical models (e.g., regression, time-series, neural networks)
+ **BI & Visualization:** Strong command of tools such as Power BI, AI Analytics tools with proven ability to build data products for broad business consumption
+ **Leadership** : At least 6 + years of experience managing or leading technical teams, with the ability to mentor talent and drive results through collaboration
+ **Governance & Compliance** : Deep understanding of data governance practices, including security, privacy, and lifecycle management
+ **AI/ML Engineering:** Experience integrating AI/ML solutions into production workflows, including foundation models or LLM-based tools
**Preferred Qualifications**
+ Familiarity with unstructured data systems (e.g., MongoDB, Elasticsearch) and vector databases
+ Prior experience supporting procurement, supply chain, or finance domains through data and analytics
+ Master's degree in computer science, Data Engineering, or a related quantitative field
+ Passion for driving innovation, operational efficiency, and continuous improvement using data
+ Knowledge of enterprise systems and financial planning tools.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
View Now
0
Intern, Data Science
28230 Charlotte, North Carolina
The Hartford
Posted 9 days ago
Job Viewed
Job Description
Student Intern - HHSIAN
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 202 6 designed to prepare you for a challenging and rewarding Data Science career.
As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to network across all levels of our Data Science & Analytics community, collaborate with teammates on learning opportunities like Capstone s and Hackathon s , attend social events, and discussions with leaders via one- on-ones and panels . To accelerate your project work, we also provide on- th e - job training in insurance , AWS development environments for data science , and modeling /machine learning techniques as needed .
The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office ( CT- Hartford, NC- Charlotte or IL- Chicago ) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday .
Responsibilities:
+ Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
+ Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
+ Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
+ Participate in the creation and deployment of long-term tools to continually evolve the business
+ Contribute to the successful implementation of strategies to achieve targeted business objectives
+ Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
+ Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
+ Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decision s
+ Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners
+ Document work clearly to ensure effective knowledge sharing within the team
Requirements:
+ Must be authorized to work in the United States without sponsorship now, or in the futur e
+ Must be working towards a Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Act uarial Science, Data Science, Computer Science, or a similar analytical field
+ Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
+ Able to maintain organized project notes, version history, and technical documentation for team reference
+ Exposure to statistical modeling, inference, and building machine learning algorithms in an analytical programming language like Python or R
+ Exposure to building modeling solutions in cloud-native environments, such as Sagemaker , a plus
+ Exposure to SQL and navigating databases to extract relevant attributes a plus
+ Exposure to Unix and Git a plus
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
-
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 202 6 designed to prepare you for a challenging and rewarding Data Science career.
As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to network across all levels of our Data Science & Analytics community, collaborate with teammates on learning opportunities like Capstone s and Hackathon s , attend social events, and discussions with leaders via one- on-ones and panels . To accelerate your project work, we also provide on- th e - job training in insurance , AWS development environments for data science , and modeling /machine learning techniques as needed .
The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office ( CT- Hartford, NC- Charlotte or IL- Chicago ) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday .
Responsibilities:
+ Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
+ Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
+ Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
+ Participate in the creation and deployment of long-term tools to continually evolve the business
+ Contribute to the successful implementation of strategies to achieve targeted business objectives
+ Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
+ Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
+ Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decision s
+ Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners
+ Document work clearly to ensure effective knowledge sharing within the team
Requirements:
+ Must be authorized to work in the United States without sponsorship now, or in the futur e
+ Must be working towards a Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Act uarial Science, Data Science, Computer Science, or a similar analytical field
+ Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa
+ Able to maintain organized project notes, version history, and technical documentation for team reference
+ Exposure to statistical modeling, inference, and building machine learning algorithms in an analytical programming language like Python or R
+ Exposure to building modeling solutions in cloud-native environments, such as Sagemaker , a plus
+ Exposure to SQL and navigating databases to extract relevant attributes a plus
+ Exposure to Unix and Git a plus
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
-
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
View Now
1
Data Science Internship
27608 Glenwood, North Carolina
RELX INC
Posted 15 days ago
Job Viewed
Job Description
Are you a current student seeking a valuable internship opportunity in the realm of Data Science?
Are you passionate about Big Data, AI, and Machine Learning?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.
About our Internship Program
Our internships offer comprehensive experience in the industry by providing hands-on opportunities to gain practical knowledge. Participants engage in weekly developmental sessions, fostering networking with both peers and leadership. Working closely with senior data scientists, interns learn and adopt key development processes while thriving in diverse environments, ensuring smooth collaboration with stakeholders. They tackle technical challenges, showcasing problem-solving skills and staying updated with evolving technological trends.
Start Date: June 1, 2026
Duration: 11-12 weeks
Location: On-site in Raleigh, NC.
Relocation assistance is NOT provided.
Graduation Requirements: Applicants must have a graduation date AFTER June 2026 to be eligible for consideration.
About the Role
As a Data Science Intern, you will analyze complex data sets and develop practical data mining and statistical analysis skills. You will also create machine learning-based data solutions. You will work closely with other data scientists and engineers to gain hands-on experience with cutting-edge AI solutions. Successful applicants will gain real-world industry experience, attend weekly knowledge and development sessions, and network with peers and leadership.
Responsibilities
+ Assisting in collecting, cleaning, and organizing large datasets for analysis.
+ Collaborating with team members to develop and test predictive models and algorithms.
+ Conducting exploratory data analysis to identify trends and patterns within the data
+ Contributing to the creation of data visualizations and reports to communicate findings.
+ Supporting the implementation of machine learning models and evaluating their performance
+ Participating in the evaluation and testing of new data science tools and technologies.
Requirements
+ Be a currently enrolled student pursuing a degree in data science, computer science, statistics, mathematics, or a related field of study.
+ Be proficient in programming languages such as Python, R, or SQL.
+ Demonstrate a deep understanding of machine learning algorithms and proficiency in using data visualization tools.
+ Have excellent problem-solving and critical-thinking skills.
+ Be detail-oriented with an exceptional ability to work independently and in a team.
+ Possess a passion for leveraging data to drive business insights and decision-making.
+ Display a passion for learning and staying updated with industry trends.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
Salary Range
$22-$32 hourly, depending on level of degree
#Internships
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Are you passionate about Big Data, AI, and Machine Learning?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.
About our Internship Program
Our internships offer comprehensive experience in the industry by providing hands-on opportunities to gain practical knowledge. Participants engage in weekly developmental sessions, fostering networking with both peers and leadership. Working closely with senior data scientists, interns learn and adopt key development processes while thriving in diverse environments, ensuring smooth collaboration with stakeholders. They tackle technical challenges, showcasing problem-solving skills and staying updated with evolving technological trends.
Start Date: June 1, 2026
Duration: 11-12 weeks
Location: On-site in Raleigh, NC.
Relocation assistance is NOT provided.
Graduation Requirements: Applicants must have a graduation date AFTER June 2026 to be eligible for consideration.
About the Role
As a Data Science Intern, you will analyze complex data sets and develop practical data mining and statistical analysis skills. You will also create machine learning-based data solutions. You will work closely with other data scientists and engineers to gain hands-on experience with cutting-edge AI solutions. Successful applicants will gain real-world industry experience, attend weekly knowledge and development sessions, and network with peers and leadership.
Responsibilities
+ Assisting in collecting, cleaning, and organizing large datasets for analysis.
+ Collaborating with team members to develop and test predictive models and algorithms.
+ Conducting exploratory data analysis to identify trends and patterns within the data
+ Contributing to the creation of data visualizations and reports to communicate findings.
+ Supporting the implementation of machine learning models and evaluating their performance
+ Participating in the evaluation and testing of new data science tools and technologies.
Requirements
+ Be a currently enrolled student pursuing a degree in data science, computer science, statistics, mathematics, or a related field of study.
+ Be proficient in programming languages such as Python, R, or SQL.
+ Demonstrate a deep understanding of machine learning algorithms and proficiency in using data visualization tools.
+ Have excellent problem-solving and critical-thinking skills.
+ Be detail-oriented with an exceptional ability to work independently and in a team.
+ Possess a passion for leveraging data to drive business insights and decision-making.
+ Display a passion for learning and staying updated with industry trends.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
Salary Range
$22-$32 hourly, depending on level of degree
#Internships
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
View Now
2
AVP Data Science-Personal Insurance GenAI Data Science
28245 Charlotte, North Carolina
The Hartford
Posted 4 days ago
Job Viewed
Job Description
AVP Data Science - GD05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an Assistant Vice President (AVP), Data Science to lead the Generative AI (GenAI) Data Science teams within the Personal Insurance organization. This pivotal leadership role will be responsible for driving our Customer Centric strategy, with the two major focus areas being Price to Risk and Customer Experience. The AVP will oversee the development and execution of advanced analytics and AI capabilities that enhance pricing accuracy, feature development, operational efficiencies, and customer experience across the Personal Insurance lifecycle.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our PI HUB office locations (Hartford, CT. San Antonio, TX. Scottsdale, AZ. Charlotte, NC. Tampa, FL. Columbus, OH.) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Key Responsibilities:
-
Lead 11 FTEs in the GenAI Data Science teams focused on Price to Risk and Customer Experience within Personal Insurance.
-
Develop and execute a research agenda to embed AI and automation into pricing, underwriting, and customer interaction processes.
-
Manage the development and enhancement of pricing and operational models, integrated into the scaled agile framework of the Personal Insurance business unit.
-
Serve as a member of the Personal Insurance extended Data and Analytics leadership team and provide thought leadership across data science and business domains.
-
Lead the development of Agentic AI and LLM-based solutions to optimize business processes and enhance decision-making transparency.
-
Hire, train, and develop a high-performing team, including budget and resource management.
-
Identify and integrate new data sources and AI tools to improve business outcomes and customer satisfaction.
-
Collaborate with technology, data, and business partners to embed AI capabilities into end-user technology and business processes.
-
Drive the development of reusable analytic assets and scalable AI solutions.
-
Champion the integration of AI solutions within The Hartford's AI platform to ensure governance, scalability, and reuse.
-
Oversee end-to-end AI projects from problem formulation to deployment and monitoring, ensuring alignment with business goals.
-
Provide evidence of delivery of the data science work supporting our PI GenAI INVEST to the Transformation Office and Business Process Council.
Required Experience:
-
Bachelor's Degree (Master's or Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Computer Science or a related analytical field.
-
10+ years of relevant experience in Data Science or AI within Insurance or Financial Services.
-
8+ years of experience leading technical teams and managing complex analytic projects.
-
5+ years of experience developing and deploying data science solutions within Personal Insurance.
-
Experience in Loss Modeling, Underwriting and Sales Modeling is preferred.
-
Subject matter expertise in Generative AI, Agentic AI, and machine learning model development including Gradient Boosted Machines (GBMs), Computer Vision, Neural Networks and Generalized Linear Models (GLMs).
-
Experience developing and deploying Class Plan Pricing models as well as regulatory requirements.
-
Proficiency in responsible AI practices, model governance, and regulatory compliance.
-
Experience in creating production environment data analytic solutions and applications.
-
Proven experience developing and deploying AI/ML solutions in multi-cloud environments, with a strong preference for Google Cloud Platform (GCP), particularly Vertex AI.
-
Experience leading migration of AI/ML solutions across cloud platforms, especially transitioning workloads and models from AWS to GCP, ensuring performance optimization and cost efficiency.
-
Deep understanding of data pipelines, model lifecycle management, and CI/CD pipelines across GCP and AWS ecosystems.
-
Ability to evaluate and integrate cloud-specific GenAI tooling into enterprise AI platforms, ensuring governance, scalability, and reuse.
-
Experience influencing senior business stakeholders and communicating data science outcomes, including formal evidence of delivery aligned to strategic initiatives such as Hartford INVEST funding.
Skills & Competencies:
-
Strong strategic thinking and analytical skills with the ability to translate multi-cloud architecture and tooling decisions into scalable business solutions.
-
Excellent verbal and written communication skills, with the ability to influence cloud platform strategy and AI integration across all organizational levels.
-
Demonstrated success in driving business transformation through cloud-native AI/ML development and cross-platform solution migration (e.g., AWS to GCP).
-
Innovative mindset with a focus on leveraging emerging GenAI and Agentic AI capabilities across cloud ecosystems to accelerate value delivery.
-
Strong collaboration and leadership skills to build effective relationships across cloud engineering, data science, and enterprise architecture teams.
-
Results-oriented, demonstrating a sense of urgency and accountability for business issues and providing evidence of delivery.
Join us in shaping the future of Personal Insurance through cutting-edge AI and data science innovation.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits (
Every day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us (
Our Culture
What It's Like to Work Here (
Perks & Benefits (
Legal Notice (
Accessibility StatementProducer Compensation (
EEO
Privacy Policy (
California Privacy Policy
Your California Privacy Choices (
International Privacy Policy
Canadian Privacy Policy (
Unincorporated Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
View Now
3
Data Science Manager, GenAI, Strategic Analytics - Data Science
27608 Glenwood, North Carolina
Deloitte
Posted today
Job Viewed
Job Description
Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
View Now
4
Data Science Manager, GenAI, Strategic Analytics - Data Science
28230 Charlotte, North Carolina
Deloitte
Posted today
Job Viewed
Job Description
Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
View Now
5
AVP Data Science-Personal Insurance GenAI Data Science
28230 Charlotte, North Carolina
The Hartford
Posted 15 days ago
Job Viewed
Job Description
AVP Data Science - GD05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an Assistant Vice President (AVP), Data Science to lead the Generative AI (GenAI) Data Science teams within the Personal Insurance organization. This pivotal leadership role will be responsible for driving our Customer Centric strategy, with the two major focus areas being Price to Risk and Customer Experience. The AVP will oversee the development and execution of advanced analytics and AI capabilities that enhance pricing accuracy, feature development, operational efficiencies, and customer experience across the Personal Insurance lifecycle.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our PI HUB office locations (Hartford, CT. San Antonio, TX. Scottsdale, AZ. Charlotte, NC. Tampa, FL. Columbus, OH.) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Key Responsibilities:
+ Lead 11 FTEs in the GenAI Data Science teams focused on Price to Risk and Customer Experience within Personal Insurance.
+ Develop and execute a research agenda to embed AI and automation into pricing, underwriting, and customer interaction processes.
+ Manage the development and enhancement of pricing and operational models, integrated into the scaled agile framework of the Personal Insurance business unit.
+ Serve as a member of the Personal Insurance extended Data and Analytics leadership team and provide thought leadership across data science and business domains.
+ Lead the development of Agentic AI and LLM-based solutions to optimize business processes and enhance decision-making transparency.
+ Hire, train, and develop a high-performing team, including budget and resource management.
+ Identify and integrate new data sources and AI tools to improve business outcomes and customer satisfaction.
+ Collaborate with technology, data, and business partners to embed AI capabilities into end-user technology and business processes.
+ Drive the development of reusable analytic assets and scalable AI solutions.
+ Champion the integration of AI solutions within The Hartford's AI platform to ensure governance, scalability, and reuse.
+ Oversee end-to-end AI projects from problem formulation to deployment and monitoring, ensuring alignment with business goals.
+ Provide evidence of delivery of the data science work supporting our PI GenAI INVEST to the Transformation Office and Business Process Council.
Required Experience:
+ Bachelor's Degree (Master's or Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Computer Science or a related analytical field.
+ 10+ years of relevant experience in Data Science or AI within Insurance or Financial Services.
+ 8+ years of experience leading technical teams and managing complex analytic projects.
+ 5+ years of experience developing and deploying data science solutions within Personal Insurance.
+ Experience in Loss Modeling, Underwriting and Sales Modeling is preferred.
+ Subject matter expertise in Generative AI, Agentic AI, and machine learning model development including Gradient Boosted Machines (GBMs), Computer Vision, Neural Networks and Generalized Linear Models (GLMs).
+ Experience developing and deploying Class Plan Pricing models as well as regulatory requirements.
+ Proficiency in responsible AI practices, model governance, and regulatory compliance.
+ Experience in creating production environment data analytic solutions and applications.
+ Proven experience developing and deploying AI/ML solutions in multi-cloud environments, with a strong preference for Google Cloud Platform (GCP), particularly Vertex AI.
+ Experience leading migration of AI/ML solutions across cloud platforms, especially transitioning workloads and models from AWS to GCP, ensuring performance optimization and cost efficiency.
+ Deep understanding of data pipelines, model lifecycle management, and CI/CD pipelines across GCP and AWS ecosystems.
+ Ability to evaluate and integrate cloud-specific GenAI tooling into enterprise AI platforms, ensuring governance, scalability, and reuse.
+ Experience influencing senior business stakeholders and communicating data science outcomes, including formal evidence of delivery aligned to strategic initiatives such as Hartford INVEST funding.
Skills & Competencies:
+ Strong strategic thinking and analytical skills with the ability to translate multi-cloud architecture and tooling decisions into scalable business solutions.
+ Excellent verbal and written communication skills, with the ability to influence cloud platform strategy and AI integration across all organizational levels.
+ Demonstrated success in driving business transformation through cloud-native AI/ML development and cross-platform solution migration (e.g., AWS to GCP).
+ Innovative mindset with a focus on leveraging emerging GenAI and Agentic AI capabilities across cloud ecosystems to accelerate value delivery.
+ Strong collaboration and leadership skills to build effective relationships across cloud engineering, data science, and enterprise architecture teams.
+ Results-oriented, demonstrating a sense of urgency and accountability for business issues and providing evidence of delivery.
Join us in shaping the future of Personal Insurance through cutting-edge AI and data science innovation.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an Assistant Vice President (AVP), Data Science to lead the Generative AI (GenAI) Data Science teams within the Personal Insurance organization. This pivotal leadership role will be responsible for driving our Customer Centric strategy, with the two major focus areas being Price to Risk and Customer Experience. The AVP will oversee the development and execution of advanced analytics and AI capabilities that enhance pricing accuracy, feature development, operational efficiencies, and customer experience across the Personal Insurance lifecycle.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our PI HUB office locations (Hartford, CT. San Antonio, TX. Scottsdale, AZ. Charlotte, NC. Tampa, FL. Columbus, OH.) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Key Responsibilities:
+ Lead 11 FTEs in the GenAI Data Science teams focused on Price to Risk and Customer Experience within Personal Insurance.
+ Develop and execute a research agenda to embed AI and automation into pricing, underwriting, and customer interaction processes.
+ Manage the development and enhancement of pricing and operational models, integrated into the scaled agile framework of the Personal Insurance business unit.
+ Serve as a member of the Personal Insurance extended Data and Analytics leadership team and provide thought leadership across data science and business domains.
+ Lead the development of Agentic AI and LLM-based solutions to optimize business processes and enhance decision-making transparency.
+ Hire, train, and develop a high-performing team, including budget and resource management.
+ Identify and integrate new data sources and AI tools to improve business outcomes and customer satisfaction.
+ Collaborate with technology, data, and business partners to embed AI capabilities into end-user technology and business processes.
+ Drive the development of reusable analytic assets and scalable AI solutions.
+ Champion the integration of AI solutions within The Hartford's AI platform to ensure governance, scalability, and reuse.
+ Oversee end-to-end AI projects from problem formulation to deployment and monitoring, ensuring alignment with business goals.
+ Provide evidence of delivery of the data science work supporting our PI GenAI INVEST to the Transformation Office and Business Process Council.
Required Experience:
+ Bachelor's Degree (Master's or Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Computer Science or a related analytical field.
+ 10+ years of relevant experience in Data Science or AI within Insurance or Financial Services.
+ 8+ years of experience leading technical teams and managing complex analytic projects.
+ 5+ years of experience developing and deploying data science solutions within Personal Insurance.
+ Experience in Loss Modeling, Underwriting and Sales Modeling is preferred.
+ Subject matter expertise in Generative AI, Agentic AI, and machine learning model development including Gradient Boosted Machines (GBMs), Computer Vision, Neural Networks and Generalized Linear Models (GLMs).
+ Experience developing and deploying Class Plan Pricing models as well as regulatory requirements.
+ Proficiency in responsible AI practices, model governance, and regulatory compliance.
+ Experience in creating production environment data analytic solutions and applications.
+ Proven experience developing and deploying AI/ML solutions in multi-cloud environments, with a strong preference for Google Cloud Platform (GCP), particularly Vertex AI.
+ Experience leading migration of AI/ML solutions across cloud platforms, especially transitioning workloads and models from AWS to GCP, ensuring performance optimization and cost efficiency.
+ Deep understanding of data pipelines, model lifecycle management, and CI/CD pipelines across GCP and AWS ecosystems.
+ Ability to evaluate and integrate cloud-specific GenAI tooling into enterprise AI platforms, ensuring governance, scalability, and reuse.
+ Experience influencing senior business stakeholders and communicating data science outcomes, including formal evidence of delivery aligned to strategic initiatives such as Hartford INVEST funding.
Skills & Competencies:
+ Strong strategic thinking and analytical skills with the ability to translate multi-cloud architecture and tooling decisions into scalable business solutions.
+ Excellent verbal and written communication skills, with the ability to influence cloud platform strategy and AI integration across all organizational levels.
+ Demonstrated success in driving business transformation through cloud-native AI/ML development and cross-platform solution migration (e.g., AWS to GCP).
+ Innovative mindset with a focus on leveraging emerging GenAI and Agentic AI capabilities across cloud ecosystems to accelerate value delivery.
+ Strong collaboration and leadership skills to build effective relationships across cloud engineering, data science, and enterprise architecture teams.
+ Results-oriented, demonstrating a sense of urgency and accountability for business issues and providing evidence of delivery.
Join us in shaping the future of Personal Insurance through cutting-edge AI and data science innovation.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (
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6
Head of Data Science
28245 Charlotte, North Carolina
Confidential
Posted 3 days ago
Job Viewed
Job Description
Head of Data Science
About the Company
Innovative AI startup specializing in document redaction solutions
Industry
Information Technology and Services
Type
Privately Held
About the Role
The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.
Travel Percent
Less than 10%
Functions
- Data Management/Analytics
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7
Data Science & Analytics Intern
28407 Marshville, North Carolina
ThermoFisher Scientific
Posted today
Job Viewed
Job Description
**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
Job Description
Join Thermo Fisher Scientific to make a real-world impact, supporting career goals and helping clients.
Interns receive mentorship and leadership training for career growth, from returning as interns to transitioning into leadership programs or securing full-time roles post-graduation.
How will you make an impact?
Our interns are matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned.
**Summer projects may include the following responsibilities:**
+ Work closely with leadership to recognize and tackle areas for improving efficiency and benchmark with industry standards.
+ Become a process owner; critically review specific processes with great attention to detail and proactively recommend opportunities for improvement.
+ Develop tools and models to improve tracking and efficiency.
+ Learn continuous improvement methodologies (i.e., PPI, Six Sigma, and others) and help promote improvement initiatives.
+ Work collaboratively across the IT function to achieve business objectives related to: Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, Global Infrastructure, Corporate Strategy & Integrations, E-Business, Digital Transformations, and Data Science.
Internship starts on May 11th or June 15th, 2026, lasting 10-12 weeks based on student schedules.
Compensation & Relocation: Our undergraduate Data Science internships offer an hourly rate between $21.50 - $8.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of 5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend.
How will you get here?
+ Undergraduate student completing an Information Technology-related degree between December 2026 and June 2027.
+ 0 years of work experience required; previous related internships preferred.
+ Consistent track record of results demonstrating integrity, innovation, involvement, and intensity.
+ Energized through championing change, driven in getting results, and savvy in navigating ambiguity.
+ Excellent interpersonal communication skills with a high degree of emotional intelligence.
If this sounds like you, we'd love to hear from you!
To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of acquiring practical experience.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
Job Description
Join Thermo Fisher Scientific to make a real-world impact, supporting career goals and helping clients.
Interns receive mentorship and leadership training for career growth, from returning as interns to transitioning into leadership programs or securing full-time roles post-graduation.
How will you make an impact?
Our interns are matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned.
**Summer projects may include the following responsibilities:**
+ Work closely with leadership to recognize and tackle areas for improving efficiency and benchmark with industry standards.
+ Become a process owner; critically review specific processes with great attention to detail and proactively recommend opportunities for improvement.
+ Develop tools and models to improve tracking and efficiency.
+ Learn continuous improvement methodologies (i.e., PPI, Six Sigma, and others) and help promote improvement initiatives.
+ Work collaboratively across the IT function to achieve business objectives related to: Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, Global Infrastructure, Corporate Strategy & Integrations, E-Business, Digital Transformations, and Data Science.
Internship starts on May 11th or June 15th, 2026, lasting 10-12 weeks based on student schedules.
Compensation & Relocation: Our undergraduate Data Science internships offer an hourly rate between $21.50 - $8.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of 5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend.
How will you get here?
+ Undergraduate student completing an Information Technology-related degree between December 2026 and June 2027.
+ 0 years of work experience required; previous related internships preferred.
+ Consistent track record of results demonstrating integrity, innovation, involvement, and intensity.
+ Energized through championing change, driven in getting results, and savvy in navigating ambiguity.
+ Excellent interpersonal communication skills with a high degree of emotional intelligence.
If this sounds like you, we'd love to hear from you!
To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of acquiring practical experience.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
View Now
8
Data Science Intern - Industries
27608 Glenwood, North Carolina
Oracle
Posted 1 day ago
Job Viewed
Job Description
**Job Description**
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
Develop models to build solutions to tackle real-world business problems
Interact with product and service teams to identify questions and issues for data analysis and experiments
Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.
Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026.
Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
Python, Java, R, SQL, PL/SQL.
Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
Have completed coursework, projects, internships, and/or research in **two or more** of the following:
Algorithms
Artificial Intelligence
Big Data Query
Data Mining
Data Modeling
Machine Learning
Statistical Inference/Analysis
Attend a university in the US.
Authorized to work in the US in 2026.
No visa sponsorship available
Must be enrolled in a university prior to and following internship completion
What We'll Give You:
**High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.
**Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.
**World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.
**A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $3.00 per hour; from: 40,800 to 110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
Develop models to build solutions to tackle real-world business problems
Interact with product and service teams to identify questions and issues for data analysis and experiments
Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.
Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026.
Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
Python, Java, R, SQL, PL/SQL.
Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
Have completed coursework, projects, internships, and/or research in **two or more** of the following:
Algorithms
Artificial Intelligence
Big Data Query
Data Mining
Data Modeling
Machine Learning
Statistical Inference/Analysis
Attend a university in the US.
Authorized to work in the US in 2026.
No visa sponsorship available
Must be enrolled in a university prior to and following internship completion
What We'll Give You:
**High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.
**Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.
**World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.
**A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $3.00 per hour; from: 40,800 to 110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
View Now
9