388 Data Scientists jobs in North Carolina

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

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(accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.

2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.

5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.

8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training

2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests

3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes

4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment

5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)

6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark

7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

2. Four years of relevant work experience if candidate lacks graduate degree

3. Previous experience in the banking or fin-tech industry

Additional Job Description:

1.Support ATO (Account Takeover) and Specialty Fraud Strategies

2.Using data analytics, identify fraud trends and build strategic rules to generate operational alerts to review

3.Produce and monitor KRI (key risk indicators) and be able to articulate fraud trends

4.Produce and monitor KPI (key performance indicators) and be able to articulate strategy performance

5.Communicate with key stakeholder's risk observations

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting

Constantly (More than 50% of the time)

Visual / Audio / Speaking

Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.

Manual Dexterity / Keyboarding

Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.

Availability

Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.

Travel

Minimal and up to 10%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (

. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? ( you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility ( ?subject=Accommodation%20request)_
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**Additional Job Description:**
1.Support ATO (Account Takeover) and Specialty Fraud Strategies
2.Using data analytics, identify fraud trends and build strategic rules to generate operational alerts to review
3.Produce and monitor KRI (key risk indicators) and be able to articulate fraud trends
4.Produce and monitor KPI (key performance indicators) and be able to articulate strategy performance
5.Communicate with key stakeholder's risk observations
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site ( Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law ( Transparency Nondiscrimination Provision ( (

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 (

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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.

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.

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.
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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 (

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
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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.

Dir Data Science - GD06AE
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 seeks a Director of Data Science within Employee Benefits to lead a team of Data Scientists and develop machine learning solutions supporting actuarial pricing and reserving modeling.
As a Director of Data Science, you will lead a team of Data Scientists through the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC, NYC) 3 days a week (Tuesday through Thursday).
Responsibilities:
+ Manage a team of Data Scientists to develop, test, validate, and maintain a portfolio of rating models for the Employee Benefits class plans in Long-Term Disability, Short-Term Disability, and Life
+ Continuously partner with Actuarial and Data teams to monitor and manage the End-to-End lifecycle of the rating models and underlying data which feeds them
+ Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financial objectives, solve business problems, and identify long-term opportunities that enhance actuarial modeling.
+ Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.
+ Advance the department's capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.
+ Develop strategies to achieve targeted business objectives. Implement these strategies and follow through to successful conclusion.
+ Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.
+ Participate in the talent management process for hiring, onboarding, training and development of staff.
+ Collaborate with your leader to provide timely feedback on development and opportunities for your team.
+ Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.
Qualifications:
+ 8+ years of relevant experience recommended
+ Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
+ Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus.
+ Experience with managing Data Scientists and providing guidance through model development
+ Expertise in statistical modeling, inference, and building machine learning algorithms in Python
+ Expertise in SQL and navigating databases to extract relevant attributes
+ Expertise in Unix and Git
+ Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
+ Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus
+ Able to communicate effectively with both technical and non-technical teams
+ Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
+ Experience with leading project execution and driving change to core business processes through the innovative use of quantitative technique
+ Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
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:
$153,200 - $229,800
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 (