Data Scientist Sr. Manager - Consumer Markets

PwC•Chicago, IL

1d•$91,000 - $321,500

About The Position

As a Data Scientist Sr. Manager, you will lead data science work that turns complex information into clear business insights and practical actions for consumer markets clients. As a Senior Manager you will lead large initiatives, advise stakeholders on data-driven decisions, and guide teams through ambiguity while using sound judgment, clear communication, and a focus on operational excellence. In this role at PwC, you will help shape analytics solutions, develop data models and storytelling approaches, and support the delivery of work within our Data and Analytics practice.

Requirements

At least a High School Diploma or the equivalent degree
At least 6 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
Demonstrating advanced analytics and data science experience within consumer markets
Applying statistical modeling and forecasting to business questions
Leading cross-functional data storytelling for executive audiences
Translating complex findings into clear strategic recommendations
Coaching teams through ambiguity and prioritizing competing demands

Responsibilities

Leading data science and business intelligence initiatives that translate complex consumer market data into actionable insights
Designing predictive models, analytical frameworks, and data-driven stories that support client decision-making and business growth
Applying Python, AI fluency, and advanced analytics methods to develop scalable solutions for reporting, forecasting, and segmentation
Guiding teams through ambiguous problem sets by framing key questions, testing hypotheses, and synthesizing findings into clear recommendations
Building dashboards and reporting solutions using business intelligence tools to track performance, trends, and market opportunities
Validating data quality, refining data pipelines, and improving data architecture to support reliable analysis and insight generation
Coaching team members and shaping work plans across multiple initiatives while balancing priorities and timelines
Collaborating with business leaders to assess market dynamics, identify opportunities, and develop analytical approaches that support strategic objectives