Data Scientist - Corporate & Institutional Banking

Position Overview

PNC is launching a new opening for a Data Scientist in its Corporate & Institutional Banking (CIB) organization. The role will be based in one of the following locations:
Pittsburgh, Philadelphia, Cleveland, Birmingham, Wilmington, Charlotte, or Houston.

In this role, you will work closely with business stakeholders, product managers, and engineering teams to explore data, develop interpretable machine learning and analytical solutions, and bring those solutions into production to address complex business problems and support CIB's growth objectives.

• Use Python or R to explore data, perform analysis, and rapidly prototype analytical approaches within repeatable workflows.
• Design, develop, validate, and monitor interpretable machine learning models using sound statistical and modeling techniques.
• Own the end‑to‑end delivery of analytical solutions—from prototype through testing, validation, and scalable production deployment—collaborating closely with engineering and testing partners to ensure production readiness.
• Act as a key communication bridge across business, product, and engineering teams to gather and document requirements, clearly communicate analytical solutions, and ensure business needs are accurately implemented.
• Define and track performance metrics to measure solution effectiveness and business impact.

• 2–3 years of relevant, postgraduate professional experience as a Data Scientist or in a comparable analytics role.
• Strong programming experience in Python or R.
• Strong SQL skills and experience working with large datasets.
• Experience working with Apache Spark (PySpark, sparklyr, or Spark SQL).
• Experience with Git or comparable version control tools.
• Design and development of interactive dashboards using Python or R–based frameworks (e.g., R Shiny, Dash, Flask).
• Experience in developing and evaluating traditional machine‑learning models, including feature engineering and performance assessment.
• Experience building applied Generative AI solutions, including familiarity with retrieval‑augmented generation and related architectural approaches.
• Experience producing delivery artifacts such as business requirements, user stories, and test cases.
• Experience supporting testing, validation, and transition from analytical prototype to production.

• Exposure to business domains such as credit, accounting, or financial operations.
• Familiarity with underwriting concepts or willingness to learn them on the job.
• Experience working across multiple business areas or interest in developing cross‑domain expertise.
• Exposure to entity resolution or record‑linkage problems, including matching, deduplication, or linking entities across disparate internal or external data sources.

Master’s degree in a quantitative field (Computer Science, Data Science, Machine Learning, Mathematics, Statistics) or a Bachelor’s degree with equivalent practical experience.

Base salary range: $55,000.00 – $. Compensation may vary based on geographic location, market data and individual skills, experience, and education. This role is incentive eligible based on company, business and/or individual performance.

• Medical, prescription drug, dental and vision coverage.
• Life insurance; short and long‑term disability protection.
• 401(k) with PNC match, pension and stock purchase plans.
• Dependent care reimbursement, backup child/elder care.
• Adoption, surrogacy, and doula reimbursement.
• Educational assistance for select programs fully paid.
• Robust wellness program with financial incentives.
• Paid time off: maternity/parental leave, up to 11 paid holidays, 9 occasional absence days, 15–25 vacation days depending on career level.

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. PNC is a Title VII employer and complies with federal and state anti‑discrimination laws. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.