Data Scientist - Corporate & Institutional Banking

PNC; Pittsburgh (Allegheny County); On-site; USD 110,000 - 150,000; Full time

Job summary

PNC seeks a Data Scientist to join the Corporate and Institutional Banking (CIB) team. You will collaborate with business stakeholders, product managers, and engineers to explore data, develop interpretable ML solutions, and deploy them to production to support CIB's growth objectives.

The ideal candidate combines strong analytical problem solving with experience in data analysis, ML, and Generative AI, and can translate business needs into scalable data products and dashboards.

Qualifications

• 2–3 years of relevant analytics experience after graduation.
• Ability to design interactive dashboards using Python or R frameworks (R Shiny, Dash, Flask).

Responsibilities

• Use Python or R to explore data, perform analysis, and prototype analytical approaches within repeatable workflows.
• Design, develop, validate, and monitor interpretable machine learning models with sound statistical techniques.
• Own end-to-end delivery from prototype through production deployment with engineering support.
• Act as a bridge across business, product, and engineering teams to gather requirements and communicate results.
• Define and track performance metrics to measure solution impact.

Skills

Analytical problem solving

Communication of insights

Education

Master's degree in quantitative field

Bachelor's degree with equivalent practical experience

Tools

Python

R

SQL

Apache Spark

Git

R Shiny

Dash

Flask

Job description

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 within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte, NC, or Houston, TX.

Job Summary

PNC is seeking a Data Scientist to join the Corporate and Institutional Banking (C&IB) team. 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 deliver those solutions into production to address complex business problems and support C&IB's growth objectives. The team's work spans key business verticals including Sales, Credit and Underwriting, and Operations, providing opportunities to apply analytics across the full lifecycle of client engagement, risk decisioning, and operational execution.

The ideal candidate combines strong analytical problem solving skills with practical experience in data analysis, machine learning, and Generative AI, and is able to clearly communicate insights and translate business needs into scalable, production ready analytical solutions and data products.

Key Responsibilities

• 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.

Required Experience & Skills

• 2-3 years of relevant, post‑graduate professional experience as a Data Scientist or in a comparable analytics role.
• Ability to design and develop interactive dashboards to communicate, visualize, and monitor analytical results using Python or R-based frameworks (e.g. R Shiny, Dash, Flask)

Programming

• Strong programming experience in Python or R.
• Strong SQL skills and experience working with large datasets.
• Experience working with Apache Spark using one or more languages (e.g. PySpark, sparklyr, or Spark SQL).
• Experience with Git or comparable version control tools.

Model Development

• Machine Learning: Experience developing and evaluating traditional ML models, including feature engineering and performance assessment.
• Generative AI: Experience building applied GenAI solutions, including familiarity with retrieval augmented generation and related architectural approaches.

Data Product Delivery

• Experience producing delivery artifacts such as business requirements, user stories, and test cases
• Experience supporting testing, validation, and transitions from analytical prototype to production

Preferred Experience & Skills

• Exposure to business domains such as credit, accounting, or financial operations.
• Familiarity with underwriting concepts or a 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.

Education

• Master's degree in quantitative fields (Computer Science, Data Science, Machine Learning, Mathematics, Statistics), or
• Bachelor's degree with equivalent practical experience

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 ensure the role aligns with their goals.

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

Job Description

Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.

Participates in the data gathering, data processing and data mining of large and complex datasets.

Develops algorithms using advanced mathematical and statistical techniques like machine learning to predictive business outcomes and recommend optimal actions to management.

Runs analytical experiments in a methodical ma