AI & GenAI Data Scientist – Senior Manager

PwC•Tampa, FL

1d•$124,000 - $280,000•Remote

About The Position

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.

Requirements

At least a Bachelor's degree
At least 7 years of experience

Nice To Haves

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

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