Data Scientist - Enterprise Fraud Organization

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 Monitoring under Enterprise Fraud organization, you will be based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL. As part of the Enterprise Fraud Organization (EFO), the React Identify team focuses on quickly identifying emerging fraud trends and uncovering potential gaps in fraud mitigation processes through anomaly detection and data analytics.

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.

• Developing effective anomaly detection metrics and monitoring tools to identify potential fraud.
• Analyzing data to detect suspicious activity, identify fraud patterns, and surface emerging trends.
• Partnering closely with cross‑functional teams to share insights and continuously improve fraud mitigation processes.

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.

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.

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)

• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• Data Architecture
• Data Mining
• Disruptive Innovation
• Information Capture
• Machine Learning
• Modeling:
  Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Base Salary: $86,250.00 – $. 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.

Generally, this opening is expected to be posted for two business days from 07/23/2026, although it may be longer with business…