15 Data Scientist jobs in Jacksonville

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value.
Work you'll do
As a Deloitte Manager, AI Data Science Engineer, become a part of a cross-functional development team who is working with GenAI solutions for digital transformation across Enterprise Products.
Additional responsibilities include:
+ Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions
+ Incorporate RLHF and advanced techniques for tax-specific AI outputs.
+ Embed generative AI solutions into consolidation, reconciliation, and reporting processes.
+ Leverage LLMs to interpret unstructured tax documentation.
+ Development and implementation of Deep learning algorithms for AI solutions
+ Stay updated with recent trends in GENAI and apply the latest research and techniques to projects
+ Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models
+ Setup and train large language models and other state-of-the-art neural networks
+ Conduct thorough testing and validation to ensure accuracy and reliability of model implementations
+ Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms
+ Explore and propose innovative AI use cases to enhance tax functions.
+ Partner with tax, finance, and IT teams to integrate AI workflows.
+ Collaborate with legal teams to meet regulatory standards for tax data.
+ Perform model audits to identify and mitigate risks.
+ Monitor and optimize generative models for performance and scalability.
The Team
Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP's ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.
Qualifications and Skills
Required:
+ Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
+ Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Bachelor's degree in computer science, Engineering, or a related field.
+ 5+ years of programming experience in Python, PyTorch, TensorFlow, and related libraries with demonstrated skills in Prompt Engineering techniques and various vector databases.
+ Evidenced understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment.
+ Proven, hands-on experience in developing, training, and fine-tuning LLMs and AI models.
+ Evidenced understanding and demonstrated experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers.
+ One of the following active accreditations obtained:
+ Licensed CPA in state of practice/primary office if eligible to sit for the CPA
+ If not CPA eligible:
+ Licensed Attorney
+ Enrolled Agent
+ Technology Certifications:
+ Alteryx Designer- Advanced Certification
+ ASQ - American Society for Quality - Software Quality Engineer
+ AWS Certified Solutions Architect
+ CBAP® - Certified Business Analysis Professional
+ Certified in Risk and Information Systems Controls (CRISC)
+ Certified Information Systems Security Professional (CISSP)
+ Certified SAFe® Advanced Scrum Master
+ Certified SAFe® Agile Software Engineer
+ Certified SAFe® Agilist
+ Certified SAFe® Architect
+ Certified SAFe® DevOps Practitioner
+ Certified SAFe® Lean Portfolio Manager
+ Certified SAFe® Practitioner
+ Certified SAFe® Product Owner / Product Manager
+ Certified SAFe® Scrum Master
+ Certified Scrum Developer (CSD)
+ Certified Scrum Product Owner (CSPO)
+ Certified Secure Software Lifecycle Professional (CSSLP)
+ Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2
+ IASA's Certified IT Architect (CITA) (Level F or A)
+ ISTQB (International Software Testing Qualifications Board)
+ ITIL Certification
+ Java: Java EE Enterprise Architect 5+, Java SE 5+ Programmer, Java EE 5+ Web Component Develope
+ Lifecycle Management and Advanced Functional Testing Certifications (HP)
+ MCSD: Application Lifecycle Management Solutions Developer
+ MCSD: SharePoint
+ MCSD: Web Applications
+ Microsoft Azure
+ Microsoft Certified Solutions Developer (MCSD)
+ Microsoft Certified Solutions Expert (MCSE)
+ Microsoft MCSD Certification
+ Open Group Certified Architect (Open CA)
+ Open Group Certified IT Specialist (Open CITS)
+ Oracle Certified Professional
+ Professional Scrum Developer (PSD)
+ Professional Scrum Product Owner(PSCPO) - SCRUM.org
+ Program Management Professional (PgMP)
+ Project Management Professional (PMP)
+ QAI Global Institute Certification
+ SEI - Software Engineering Institute Certification
+ Six Sigma (Green or Black Belt)
+ UX or UX Master Certification
Preferred:
+ Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction.
+ Familiarity with Azure Cloud Computing Platform.
+ Experience with Docker, Kubernetes, CI/CD pipelines.
+ Experience with Deep learning, Computer Vision, CNN, RNN, LSTM.
+ Experience with Vector Databases (Milvus, Postgres, etc.), Database Technologies.
The 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 $103,320 to $235,170.
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.
Information for applicants with a need for accommodation: 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.

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Analyse and identify the linkages and interactions between the component parts of an entire system.
+ Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
+ Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
+ Develop skills outside your comfort zone, and encourage others to do the same.
+ Effectively mentor others.
+ Use the review of work as an opportunity to deepen the expertise of team members.
+ Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
**Minimum Degree Required**
Bachelor's Degree
**Minimum Year(s) of Experience**
7 year(s)
Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs:
+ Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
+ Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
+ Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases
+ Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
+ Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
+ Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
+ Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
+ Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
+ Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
+ Structuring, write, communicate and facilitate client presentations; and,
+ Managing associates and senior associates through coaching, providing feedback, and guiding work performance.
Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
+ Managing GenAI application development teams including back-end and front-end integrations
+ Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
+ Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
+ Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
+ Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
+ Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
**Minimum Degree Required**
Bachelor's Degree
**Minimum Year(s) of Experience**
4 year(s)
Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs:
+ Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
+ Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach
+ Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases
+ Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
+ Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
+ Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
+ Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
+ Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
+ Structuring, write, communicate and facilitate client presentations; and,
+ Directing associates through coaching, providing feedback, and guiding work performance.
Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
+ Managing AI/GenAI application development teams including back-end and front-end integrations
+ Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
+ Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
+ Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
+ Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
+ Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

Data Scientist II - Graph Data Platform - Client Protection
Charlotte, North Carolina;Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Tampa, Florida; Kennesaw, Georgia; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona
**To proceed with your application, you must be at least 18 years of age.**
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**To proceed with your application, you must be at least 18 years of age.**
Acknowledge ( Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
**Job Summary**
This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams.
**Client Protection Shared Services** - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
**Responsibilities:**
+ Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights
+ Applies agile practices for project management, solution development, deployment, and maintenance
+ Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production
+ Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
+ Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
+ Supports the identification of potential issues and development of controls
+ Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
+ Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology
+ Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks
+ Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts
+ Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business
+ Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
+ Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
+ Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
+ Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights
+ Link Analysis/Graph analytics to find and mitigate densely connected fraud networks
+ Developing and tuning graph algorithms to maximize detection of fraud
+ Assist with the generation, prioritization, and investigation of fraud rings   
**Required Qualifications:**
- Minimum of 4 years of experience in data and analytics
- Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages
- Must be proficient with SQL and one of SAS, Python, or Java
- Critical problem-solving skills including selection of data and deployment of solutions
- Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team
- Excellent communication and influencing skills
- Thrives in fast-paced and highly dynamic environment
- Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions
- Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka)
- Expertise in data analytics and technical development lifecycles including having coached junior staff
**Desired Qualifications:**
- Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD)
- 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas
- Deep understanding of graph databases, graph algorithms, and experience developing graph schemas
- Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques
- Proficient with H2O or similar advanced analytical tools
- Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects
- Experience influencing mid to senior (executive) level leaders
- Experience managing risk and issue remediation
- Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile
**Skills:**
+ Agile Practices
+ Application Development
+ DevOps Practices
+ Technical Documentation
+ Written Communications
+ Artificial Intelligence/Machine Learning
+ Business Analytics
+ Data Visualization
+ Presentation Skills
+ Risk Management
+ Adaptability
+ Collaboration
+ Consulting
+ Networking
+ Policies, Procedures, and Guidelines Management
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "Know your Rights" poster, CLICK HERE ( .
View the LA County Fair Chance Ordinance ( .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

**Job Description**
**Job Summary**
Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions.
**Job Duties**
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development:** Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning:** Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **AI Model Deployment and Monitoring:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
**Job Qualifications**
**REQUIRED EDUCATION:**
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 3+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark
- Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
Master's degree in computer science, Data Science, Statistics, or a related field
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $88,453 - $206,981 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Job Description**
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Specialty/Competency:** Data Quality Assurance
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 20%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Craft and convey clear, impactful and engaging messages that tell a holistic story.
+ Apply systems thinking to identify underlying problems and/or opportunities.
+ Validate outcomes with clients, share alternative perspectives, and act on client feedback.
+ Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
+ Deepen and evolve your expertise with a focus on staying relevant.
+ Initiate open and honest coaching conversations at all levels.
+ Make difficult decisions and take action to resolve issues hindering team effectiveness.
+ Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development and
implementation of AI-driven automation strategies that enhance data management and improve
operational productivity. As a Senior Manager you will serve as a strategic advisor, leveraging
your knowledge to drive results and maintain operational excellence while mentoring
performance-oriented teams to solve complex problems. This role offers the chance to work at
the forefront of AI and data quality, working with diverse stakeholders to promote innovative
solutions and maintain the integrity of enterprise data systems.
Responsibilities
- Streamline data management processes to enhance operational effectiveness
- Serve as a strategic advisor to stakeholders on data quality and integrity
- Mentor and develop top-performing teams to tackle complex challenges
- Maintain adherence to industry standards in enterprise data systems
- Analyze and interpret data trends to inform decision-making
- Drive continuous improvement in data management strategies
What You Must Have
- High School Diploma
- 6 years of experience in progressive roles on data analytics, data management, quality
assurance processes/technology
What Sets You Apart
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Engineering
preferred
- Demonstrating in-depth abilities in AI-driven automation strategies
- Leading AI and automation teams in scalable model deployment
- Enhancing data quality through AI-powered analytics
- Integrating AI solutions into data ecosystems
- Advocating for software engineering practices in machine learning
- Mentoring team members to foster innovation and accountability
- Managing collaboration across analytics and AI efforts
- Staying current on emerging trends in AI and automation
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Job Description**
**Job Summary**
Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions.
**Job Duties**
- Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.
- Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 6+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Location: Anywhere in Country
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Technology - Data and Decision Science - AI Native Engineering**
*** **AI/Machine Learning Engineer, Manager Consultant**
**The opportunity**
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
**Your key responsibilities**
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
**Your responsibilities will include:**
+ Leading workstream delivery and ensuring the effective management of processes and projects.
+ Continuously improving processes by identifying innovative solutions through research and analysis.
+ Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
+ Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
+ Identifying opportunities for additional services and managing engagement economics.
**Skills and attributes for success**
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
The following attributes will make a significant impact:
+ Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
+ Strong judgment in selecting methods and techniques for obtaining results.
+ Experience in managing client relationships and delivering high-quality service.
+ Ability to lead teams effectively and manage change within the organization.
**To qualify for the role, you must have**
+ A Bachelor's degree required (4-year degree).
+ 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
+ 2-4 years of experience directly managing technical teams
+ Strong skills in Python.
+ Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
+ Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
+ Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
+ A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
+ Experience with MLOps methods and platforms such as MLFlow.
+ Experience with CI/CD and test-driven development.
+ Experience designing, building, and maintaining ML models, frameworks, and pipelines.
+ Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
+ Understanding of data structures, data modelling and software engineering best practices.
+ Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
+ Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
+ Experience with containerization and scaling models.
+ Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
+ Deep Learning expertise.
+ Proficiency in Mathematics, Statistics, and Operations Research.
+ Experience with Machine Learning techniques.
+ Knowledge of Data Architecture Design and Modelling.
+ Familiarity with Cloud Computing environments.
+ Skills in Technical Design Optimization.
+ Experience with Continuous Integration and Continuous Delivery/Deployment.
+ Understanding of Natural Language Processing and Generation.
+ Knowledge in Image Processing and Analysis.
+ Skills in Speech and Audio Processing and Analysis.
+ Ability to scale models effectively.
+ Strong relationship-building skills.
+ Demonstrated client trust and value.
+ Effective communication skills with impact.
+ Digital fluency and emotional agility.
+ Experience in hybrid collaboration.
+ Commercial acumen and negotiation skills.
+ Proven ability to lead teams and manage change.
+ Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
+ Willingness to travel to meet client obligations.
**Ideally, you'll also have**
+ A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
+ Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
+ Experience working with diverse teams to deliver complex solutions.
+ Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
+ Experience fine-tuning Generative AI models.
+ Experience in managing complex projects with multiple stakeholders.
+ A strong understanding of industry trends and emerging technologies.
+ Skills in data visualization and storytelling with data.
**What we look for**
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
#FY26NATAID
#FY26NATAID
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $27,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 149,200 to 259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. 
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .