Data Scientist - Marketing & Customer Analytics

Data Scientist

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 within PNC's Balance Sheet Analytics & Modeling Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Wilmington, DE, or Tysons Corner, VA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis.

Role Overview: We are seeking a Data Scientist to join our Marketing and Customer Analytics Modeling team. This role focuses on developing and deploying predictive models that drive targeted marketing strategies, optimize customer acquisition, and enhance portfolio performance. The ideal candidate combines expertise in statistical modeling and machine learning with business acumen to deliver practical modeling solutions for marketing.

Key Responsibilities:

• Design, build, and validate predictive models in the credit card and consumer lending marketing domain using advanced statistical modeling and machine learning techniques.
• Analyze large datasets to uncover insights, create meaningful features, and ensure data quality and relevance for modeling.
• Track model performance over time, recalibrate as needed, and communicate results and implications to stakeholders.
• Provide actionable recommendations based on model outputs to inform campaign targeting and optimization.
• Maintain thorough documentation of modeling processes, assumptions, and validation results to support compliance and model governance requirements.

Preferred Skills and Experience:

• Experience applying statistical modeling and machine learning techniques within financial services; in the credit card and/or consumer lending marketing domain.
• Proficiency in Python, R, and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
• Excellent communication skills with the ability to explain complex models to non-technical stakeholders.
• Understanding of marketing analytics, campaign measurement, targeting strategies, and experimental design.
• Strong attention to detail.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.