Data Scientist - Corporate & Institutional Banking

PNC Financial Services Group; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health coverage

401(k) with PNC match

Paid time off

Job summary

PNC is seeking a Data Scientist for their Corporate and Institutional Banking team in Houston, TX. This role involves leveraging data analytics to develop machine learning solutions and address complex business problems.

Qualified candidates should have a master's degree in quantitative fields and experience in data analysis, programming in Python or R, and machine learning techniques. Benefits include comprehensive health coverage and paid time off.

Qualifications

• 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.
• Strong programming experience in Python or R.

Responsibilities

• Use Python or R to explore data, perform analysis, and prototype analytical approaches.
• Design, develop, validate, and monitor interpretable machine learning models.
• Own the end-to-end delivery of analytical solutions and ensure production readiness.

Skills

Python

R

SQL

Machine Learning

Apache Spark

Education

Master's degree in quantitative fields

Bachelor's degree with equivalent practical experience

Tools

Git

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.

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).


• Bachelor's degree with equivalent practical experience.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full‑time employees include medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options, employee and spouse/child life insurance, short and long‑term disability protection, 401(k) with PNC match, pension and stock purchase plans, dependent care reimbursement account, back‑up child/elder care, adoption, surrogacy, and doula reimbursement, educational assistance, including select programs fully paid, and a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [e-mail]. Please include 'accommodation request' in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say \"Workday\" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Equal Employment Opportunity (EEO)

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.

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.

California Residents

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