Job description

The Opportunity As an AI & GenAI Data Scientist – Senior Manager you will leverage advanced analytics, statistical modeling, and data visualization to help clients solve complex business problems and support data-driven decisions within our Data and Analytics Engineering practice. As a Senior Manager you will lead large workstreams, use sound judgment in ambiguous situations, coach teams through complexity, and shape clear messages that connect technical analysis to business priorities. In this role at PwC, you will guide exploratory and descriptive analysis, apply machine learning techniques to large data sources, and contribute to the development of AI and GenAI solutions that inform strategy and operational improvement. Responsibilities - Leading AI and GenAI data science workstreams for client engagements and translating business questions into analytic approaches - Developing machine learning, deep learning, and natural language processing models to address complex business problems - Applying statistical analysis, predictive modeling, and rapid experimentation to generate actionable insights from structured and unstructured data - Designing data science workflows that connect data engineering, data quality, and model development activities - Building and refining data models, data pipelines, and analytical assets that support scalable solution delivery - Evaluating model performance, testing assumptions, and adjusting approaches based on findings and client feedback - Communicating analytic results through clear narratives, visualizations, and technical recommendations for diverse stakeholders - Coaching team members through ambiguity, promoting thoughtful problem solving, and supporting delivery across multiple priorities - Contributing to responsible use of AI by applying sound judgment, professional standards, and governance considerations in delivery What You Must Have - At least a Bachelor's degree - At least 7 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance - Demonstrating AI and GenAI data science leadership across client-facing programs - Applying machine learning, deep learning, and NLP in complex solutions - Crafting executive-ready narratives from analytics and model outputs - Validating outcomes through experimentation, feedback, and iterative refinement - Coaching diverse teams through ambiguity and changing priorities The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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: pwc.to As 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.  PwC 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.to. Learn more about how we work: pwc.to 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: pwc.to

Requirements

Must-haves

Leading AI and GenAI data science workstreams for client engagements and translating business questions into analytic approaches
Developing machine learning, deep learning, and natural language processing models to address complex business problems
Applying statistical analysis, predictive modeling, and rapid experimentation to generate actionable insights from structured and unstructured data
Designing data science workflows that connect data engineering, data quality, and model development activities
Building and refining data models, data pipelines, and analytical assets that support scalable solution delivery
Evaluating model performance, testing assumptions, and adjusting approaches based on findings and client feedback
Communicating analytic results through clear narratives, visualizations, and technical recommendations for diverse stakeholders
Coaching team members through ambiguity, promoting thoughtful problem solving, and supporting delivery across multiple priorities
Contributing to responsible use of AI by applying sound judgment, professional standards, and governance considerations in delivery
What You Must Have
At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart
Demonstrating AI and GenAI data science leadership across client-facing programs
Applying machine learning, deep learning, and NLP in complex solutions
Crafting executive-ready narratives from analytics and model outputs
Validating outcomes through experimentation, feedback, and iterative refinement
Coaching diverse teams through ambiguity and changing priorities

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k