Data Scientist - Corporate & Institutional Banking

PNC Financial Services Group is seeking a Data Scientist to join its Corporate and Institutional Banking (C&IB) organization. The role centers on applying interpretable machine learning and analytics across Sales, Credit/Underwriting, and Operations, delivering end-to-end solutions from prototype to production. The position is onsite in Houston, TX.

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.

Requirements

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

Technologies

• Python
• R
• R Shiny
• Dash
• Flask
• Apache Spark
• PySpark
• sparklyr
• Spark SQL
• SQL
• Git

Benefits

• Medical/prescription drug coverage (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
• Wellness program with financial incentives
• 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

Job Description

• Performs analytical tasks on 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 predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
• May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

Pay Transparency

Base Salary: $86,250.00 – $172,500.00. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with compensation tied to company, business and/or individual performance.

Application Window

Generally, this opening is posted for two business days from 04/06/2026, though it may be longer with business discretion.

Disability Accommodations

If an accommodation is required to participate in the application process, please contact via email at [email protected]. Include "accommodation request" in the subject line and provide your name, the job ID, and your preferred method of contact. You may also call 877-968-7762 and say "Workday" for accommodation assistance. PNC is committed to fostering an inclusive and accessible workplace and providing reasonable accommodations to applicants with disabilities.

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 statuses protected by law.

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