Overview:
As Data Scientist Lead in PNC’s Data, Modeling & Analytics Home Lending group, you drive analytics initiatives using large structured and unstructured data to create actionable business insights. You will lead data gathering, processing, and mining, delivering production AI solutions with a strong emphasis on governance and risk. You’ll partner with architects, data engineers, and visualization experts to translate analytics into business value and guide other data scientists. This role combines leadership, technical depth, and cross-functional collaboration to advance PNC’s analytical capabilities in home lending. Compensation / Benefits medical/dental/vision coverage 401(k) with company match pension and stock purchase plans education assistance wellness program with incentives paid time off and holidays
Responsibilities:
Direct analytical projects leveraging large datasets to extract actionable insights Lead data gathering, processing, and mining of complex data Provide deep technical expertise to advance analytics capabilities Represent PNC and provide thought leadership on data science activities Supervise implementation of advanced analytics projects and present results to management Collaborate with Data Architects, Data Analysts, Data Engineers and Visualization Experts to deliver data-driven solutions
Key requirements:
Hands-on experience designing agentic LLM workflows (Azure AI Foundry/OpenAI) Propensity and ML modeling; backtesting at scale Strong Python/SQL/PySpark Home Lending or retail banking domain knowledge Prompt governance, responsible AI, and model validation Proven ability to lead data science teams and deliver production AI solutions to business users 8+ years industry experience University degree; higher level education such as Masters desirable Leadership Strategic thinking Cross-functional collaboration Agentic LLM workflows (Azure AI Foundry/OpenAI) Propensity modeling Machine Learning