Data Scientist Senior - Modeling & Customer Analytics

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].

Job Profile

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist Senior.

within PNC's Modeling & Customer Analytics organization, you will be based in Pittsburgh, PA;
Cleveland, OH;
East Brunswick, NJ; or Tyson's Corner, VA.

Job Summary:

PNC is seeking a highly motivated Data Scientist Senior to join the Modeling & Customer Analytics organization. This role will focus on supporting analytics initiatives across Branch Banking, Customer Care Center, and Customer Analytics functions, leveraging advanced analytics, statistical techniques, and large-scale data processing to drive business insights and decision-making.

The ideal candidate will possess strong programming expertise in Python and PySpark, experience working with large datasets, and the ability to communicate complex analytical findings to both technical and non-technical stakeholders. This position will partner closely with business leaders and technology teams to develop predictive models, conduct ad hoc analyses, support test-and-learn initiatives, and deliver actionable insights that improve customer and business outcomes.

Required Qualifications:

• Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience.

• Strong experience in Data Science, Business Analytics, or Advanced Analytics roles.

• Advanced programming skills in Python, PySpark, SQL, or Jupyter Hub/Jupyter Notebook environments

• Experience working in Linux environments.

• Experience with big data platforms, including Teradata and large-scale data processing frameworks.

• Strong statistical, analytical, and mathematical problem-solving skills.

• Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis

• Experience conducting ad hoc analyses and translating data into business recommendations.

• Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences.

• Experience developing data visualizations and dashboards using Tableau and/or Power BI.

• Strong coding, analytical, and communication skills.

Preferred Qualifications:

• Experience with in the Banking or Financial Services industry.

• Experience supporting customer analytics, branch banking analytics, or contact center analytics functions.

• Knowledge of customer behavior modeling and business performance measurement.

• Familiarity with experimental design, A/B testing, and test-and-learn methodologies.

• Experience working with cross-functional teams in large enterprise environments. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and…