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: o Strong programming experience in Python or R. o Strong SQL skills and experience working with large datasets. o Experience working with Apache Spark using one or more languages (e.g. PySpark, sparklyr, or Spark SQL). o Experience with Git or comparable version control tools. Model Development: o Machine Learning: Experience developing and evaluating traditional ML models, including feature engineering and performance assessment. o Generative AI: Experience building applied GenAI solutions, including familiarity with retrieval augmented generation and related architectural approaches. Data Product Delivery: o Experience producing delivery artifacts such as business requirements, user stories, and test cases o 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 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Language Assessments No Required or Preferred Language Assessments 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 the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 04/06/2026, although it may be longer with business discretion. 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; 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. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com . Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest pnc.com . 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. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. 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 Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Requirements

Must-haves

Position Overview
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.
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, 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)
o Strong programming experience in Python or R.
o Strong SQL skills and experience working with large datasets.
o Experience working with Apache Spark using one or more languages (e.g. PySpark, sparklyr, or Spark SQL).
o Experience with Git or comparable version control tools.
o Machine Learning: Experience developing and evaluating traditional ML models, including feature engineering and performance assessment.
o Generative AI: Experience building applied GenAI solutions, including familiarity with retrieval augmented generation and related architectural approaches.
o Experience producing delivery artifacts such as business requirements, user stories, and test cases
o Experience supporting testing, validation, and transitions from analytical prototype to production
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.
Master’s degree in quantitative fields (Computer Science, Data Science, Machine Learning, Mathematics, Statistics), or
Bachelor’s degree with equivalent practical experience
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Nice-to-haves

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
No Required or Preferred Language Assessments

Application prep

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Keywords to mirror

machine learningaipythonsqlml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness