Senior Data Science Manager – Consumer Markets

PwC; Houston (TX); On-site; USD 91,000 - 322,000; Full time

Job summary

PwC is seeking a Data Scientist Sr. Manager to lead large analytics initiatives for consumer markets clients. You will guide teams, shape data-driven strategies, and deliver scalable data models and storytelling approaches to support executive decision-making.

In this role, you will leverage Python and advanced analytics to build dashboards, validate data quality, and collaborate with business leaders on market opportunities and strategic objectives.

Qualifications

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

Responsibilities

• Leading data science and BI 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.

Skills

Data Science

Python

Analytics

Storytelling

Education

High School Diploma

Tools

Power BI

Tableau

SQL

Job description

PwC is seeking a Data Scientist Sr. Manager to lead large analytics initiatives for consumer markets clients. You will guide teams, shape data-driven strategies, and deliver scalable data models and storytelling approaches to support executive decision-making.

In this role, you will leverage Python and advanced analytics to build dashboards, validate data quality, and collaborate with business leaders on market opportunities and strategic objectives.