Data Scientist Lead - Data, Modeling & Analytics
About The Position
As a Data Scientist Lead in PNC's Data, Modeling & Analytics Home Lending organization, the role is based in Pittsburgh, Pennsylvania; Tysons Corner, Virginia; or East Brunswick, New Jersey. The position directs and consults on analytical projects that use structured and unstructured data to produce actionable business insights, and provides deep technical expertise to advance data science capabilities. It supervises advanced analytics project implementation 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, while representing PNC and providing data science thought leadership. The position is in-office; PNC encourages candidates to discuss workplace expectations with their recruiter and hiring manager. PNC does not provide employment visa sponsorship or participate in STEM OPT for this position. The role is incentive eligible, with incentive payment based on company, business, and/or individual performance.
Requirements
- Typically requires 8 or more years of industry-relevant experience.
- A university or college degree is typically required; comparable education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
- Preferred hands-on experience designing agentic LLM workflows using Azure AI Foundry/OpenAI, propensity and machine-learning models, and backtesting at scale.
- Strong Python, SQL, and PySpark skills.
- Experience with prompt governance, responsible AI, and model validation.
- Proven ability to lead data science teams and deliver production AI solutions to business users.
- Home Lending or retail banking domain knowledge is preferred.
- Knowledge and skills in analytical thinking, data analytics, data mining, data science, and machine learning.
- Competencies include data architecture, disruptive innovation, information capture, modeling of data, processes, events, and objects, prototyping, and query and database access tools.
- A master's degree is listed in the education section; higher education such as a master's degree, PhD, or certifications is described as desirable.
- No required certifications or licenses are listed.
Nice To Haves
- Hands-on experience designing agentic LLM workflows using Azure AI Foundry/OpenAI, propensity and machine-learning models, and backtesting at scale.
- 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.
- Master's degree, PhD, or certifications.
Responsibilities
- Direct and consult on analytical projects that use structured and unstructured data to extract actionable business insights.
- Direct the gathering, processing, and mining of large and complex datasets.
- Provide deep technical expertise to advance the data science capabilities of analytics teams.
- Represent PNC, understand its needs and challenges, and provide data science thought leadership internally and externally.
- Supervise implementation of advanced analytics projects.
- Help other 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.
- Assess and manage risks associated with business objectives and activities in support of PNC's Enterprise Risk Management Framework.
- Apply customer-focused practices that prioritize customer needs and satisfaction in business decisions and customized solutions.
Benefits
- Medical and prescription drug coverage, including 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 plan
- 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
- Incentive-eligible compensation based on company, business, and/or individual performance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
