Data Scientist

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 Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ.

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and internal tools that enhance team and departmental workflows. This role spans both traditional data science responsibilities and emerging generative AI capabilities, with an emphasis on designing, implementing, and operating agents that leverage Copilot and related platforms. The ideal candidate is hands‑on, technically curious, and motivated to apply data, automation, and AI solutions to real business problems.

• Design, build, and deploy intelligent agents to automate team and departmental workflows
• Implement and extend agents using Copilot and related GenAI tooling
• Develop internal tools and automation solutions that improve data access, analysis, and decision‑making
• Apply statistical analysis and data mining techniques to support agent logic, insights, and recommendations
• Manage and prepare data pipelines to support both analytical and GenAI‑driven use cases
• Partner with stakeholders to identify opportunities where automation and agents can drive efficiency or scale
• Integrate agents and tools with existing platforms and business processes
• Support and continuously improve deployed agents through monitoring, tuning, and iteration
• Document solutions and share best practices to enable broader adoption across teams

• Experience building or implementing intelligent agents or automation solutions
• Familiarity with leveraging Copilot to design, configure, or extend agent‑based workflows
• Strong foundation in statistical analysis and data mining techniques
• Experience working across data management and analytics use cases
• Familiarity with Microsoft Power Platform (Power Automate, Power Apps, Power BI)
• Comfort working with structured and unstructured data sources
• Ability to translate business needs into automated, data‑driven solutions
• Strong problem‑solving skills and a bias toward practical, scalable implementation

• 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.

Analytical Thinking, Competitive Advantages, Data Analytics, Data Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform, Statistical Analysis

Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling:
Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

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.

Masters

No Required Certification(s)

No Required License(s)

Base Salary: $55,000.00 - $

Salaries may vary based…