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Job Description

PNC’s Data, Modeling, and Analytics organization is hiring a Data Scientist in Pittsburgh, PA 15222 (onsite) to build analytics and machine learning solutions that support business decisions.

Responsibilities

  • Perform analytical work on structured and unstructured data to uncover actionable business insights.
  • Contribute to data gathering, data processing, and data mining across large, complex datasets.
  • Develop algorithms using advanced mathematical and statistical techniques including machine learning to predict business outcomes.
  • Recommend optimal actions to management based on model results.
  • Run methodical analytical experiments to identify opportunities for product and process optimization.
  • Support business insight communication to management using visualization technologies and data storytelling.
  • Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to deliver data-driven solutions.

Requirements

  • 3+ years of relevant/direct industry experience.
  • Master’s degree.
  • Demonstrated Analytical Thinking and Data Analytics skills.
  • Hands-on Data Mining and Data Science experience.
  • Working knowledge of Machine Learning (ML).
  • Understanding of Data Architecture.
  • Capabilities tied to: Disruptive Innovation, Information Capture, and Modeling: Data, Process, Events, Objects.
  • Experience with Prototyping.
  • Familiarity with Query and Database Access Tools.

Technologies

  • Machine Learning (ML)

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

Compensation

  • Base Salary: USD 86,250 - 143,750 per year
  • Incentive eligible; payment based on company, business, and/or individual performance

Location and Work Model

  • Onsite in Pittsburgh, PA 15222
  • PNC is described as an in-office company supporting employee balance and success
  • No employment visa sponsorship and no participation in STEM OPT for this position

Benefits

  • Medical and 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
  • Robust 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
  • 15 to 25 vacation days each year, depending on career level

Application Window

  • Expected to be posted for two business days from 09/16/2026 (may be longer with business discretion)

Disability Accommodations

  • For accommodation requests: [email protected] with subject line including “accommodation request” and include name, job ID, and preferred contact method
  • Emails not related to accommodation requests will not receive responses
  • Applicants may call 877-968-7762 and say “Workday” for accommodation assistance
  • Information provided is kept confidential and used only as needed to provide reasonable accommodations

Equal Employment Opportunity (EEO)

  • Equal employment opportunity regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other protected categories
  • Subject to FDIA Section 19 requirements; registered roles may also be subject to SAFE Act and/or FINRA requirements related to certain criminal history

California Residents

  • Refer to the California Consumer Privacy Act Privacy Notice for how personal information may be used or disclosed in hiring practices

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