Data Scientist Lead - Data, Modeling & Analytics
About The Position
The Data Scientist Lead works within PNC's Data, Modeling & Analytics Home Lending organization and is based in Pittsburgh, Pennsylvania; Tysons Corner, Virginia; or East Brunswick, New Jersey. The role directs and advises analytical projects that use large volumes of structured and unstructured data to generate actionable business insights. It directs data gathering, processing, and mining for large, complex datasets and provides technical expertise to advance data science capabilities. The Lead represents PNC and provides thought leadership on data science activities, supervises implementation of advanced analytics projects, and helps data scientists communicate analytical processes and outcomes to management. The role partners with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven business solutions. Preferred experience includes designing agentic LLM workflows, propensity and machine-learning models, and large-scale backtesting, along with leading data science teams and delivering production AI solutions to business users. PNC describes the position as in-office.
Requirements
- Typically requires a university or college degree; comparable combinations of education, job-specific certifications, and experience may be considered in lieu of a degree.
- Industry-relevant experience is typically 8 or more years.
- A Master's degree is listed under Education.
- Strong Python, SQL, and PySpark skills are preferred.
- Experience with propensity and machine-learning modeling and backtesting at scale is preferred.
- Home Lending or retail banking domain knowledge is preferred.
- Experience with prompt governance, responsible AI, and model validation is preferred.
- Proven ability to lead data science teams and deliver production AI solutions to business users is preferred.
- Hands-on experience designing agentic LLM workflows using Azure AI Foundry or OpenAI is preferred.
Nice To Haves
- Hands-on experience designing agentic LLM workflows using Azure AI Foundry or OpenAI.
- Experience with propensity and machine-learning modeling and backtesting at scale.
- Strong Python, SQL, and PySpark skills.
- Home Lending or retail banking domain knowledge.
- Experience with prompt governance, responsible AI, and model validation.
- Proven ability to lead data science teams and deliver production AI solutions to business users.
- Preferred skills include analytical thinking, competitive advantages, data analytics, data mining, data science, and machine learning.
Responsibilities
- Direct and consult on analytical projects that leverage structured and unstructured data to extract actionable business insights.
- Direct data gathering, processing, and mining of large and complex datasets.
- Provide deep technical expertise to advance data science capabilities within analytics teams.
- Represent PNC and provide thought leadership on data science activities internally and externally.
- Supervise implementation of advanced analytics projects.
- Help data scientists present analytical processes and outcomes to management.
- Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven business solutions.
- Focus on customer needs and satisfaction in business decisions and customized customer solutions.
- Assess and manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework.
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 and elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select fully paid programs
- 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 and years of service
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
