Data Scientist Lead - Data, Modeling & Analytics

PNC Financial Services Group; Tysons (VA); On-site; USD 134,000 - 250,000; Full time

Benefits offered by this job

Medical/prescription coverage + dental

401(k) match, pension, stock plans

Paid holidays

Vacation days 15-25

Job summary

PNC Financial Services Group is looking for a lead-level Data Scientist to drive end-to-end analytics from data gathering to production AI deployment in Home Lending. This onsite role spans multiple locations including Pittsburgh, Tysons Corner, and East Brunswick, applying advanced analytics to deliver production-ready AI solutions for business users.

You will lead a team, shape data-driven strategy, and collaborate with architects, engineers, and visualization experts to translate large-scale

Qualifications

• Hands-on experience designing agentic LLM workflows using Azure AI Foundry/OpenAI.
• Proficiency in Python, SQL, and PySpark.
• Experience with prompt governance, responsible AI, and model validation.
• 8+ years of industry experience.
• Masters degree required; PhD or certifications desirable.

Responsibilities

• Direct and consult on analytical projects that use structured and unstructured data to generate actionable business insights.
• Oversee data gathering, data processing, and data mining for large and complex datasets.
• Provide deep technical expertise to grow analytics team data science capabilities.
• Represent PNC by understanding business needs and challenges, and offering thought leadership on data science activities internally and externally.
• Supervise the implementation of advanced analytics projects, including helping other data scientists communicate analytical processes and outcomes to management.
• Collaborate with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions.

Skills

Python

SQL

PySpark

Azure AI Foundry

OpenAI

Prompt governance

Responsible AI

Model validation

Data science leadership

8+ years experience

Education

Masters degree

PhD or certifications desirable

Tools

Azure AI Foundry

OpenAI

Job description

PNC Financial Services Group is hiring a lead-level Data Scientist to support its Data, Modeling & Analytics function within Home Lending. In this onsite role, you will lead analytical efforts that translate large-scale data into production AI capabilities for business users, operating across locations including Pittsburgh, PA, Tysons Corner, VA, and East Brunswick, NJ.

This position focuses on directing advanced analytics work end-to-end, from data gathering and processing through modeling, validation, and delivery. You will also represent PNC through thought leadership and technical guidance, partnering with related teams to build data-driven solutions for the business.

What you’ll do

• Direct and consult on analytical projects that use structured and unstructured data to generate actionable business insights.
• Oversee data gathering, data processing, and data mining for large and complex datasets.
• Provide deep technical expertise to grow analytics team data science capabilities.
• Represent PNC by understanding business needs and challenges, and offering thought leadership on data science activities internally and externally.
• Supervise the implementation of advanced analytics projects, including helping other data scientists communicate analytical processes and outcomes to management.
• Collaborate with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions.

Requirements

• Hands-on experience designing agentic LLM workflows using Azure AI Foundry/OpenAI, plus propensity and ML modeling and backtesting at scale.
• Strong Python, SQL, and PySpark.
• 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.
• Typically 8+ years of industry-relevant experience.
• Roles at this level typically require a university/college degree; a Masters is required in the job criteria.
• Higher education such as a Masters, PhD, or certifications is desirable.
• In lieu of a degree, a comparable combination of education, job-specific certification(s), and experience (including military service) may be considered.
• Background aligned with Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, and Machine Learning (ML).

Tools and technologies

• Azure AI Foundry, OpenAI
• Python, SQL, PySpark

Compensation

USD 134,400 - 249,600 per year. Base salary range: $134,400.00 – $249,600.00. This role is incentive eligible, with payment based on company, business, and/or individual performance.

Location

Tysons Corner, VA 22102 (onsite). This role is also associated with PNC locations including Pittsburgh, PA and East Brunswick, NJ.

Benefits

• Medical/prescription drug coverage (with an Health Savings Account feature), plus 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, and back-up child/elder care.
• Adoption, surrogacy, and doula reimbursement.
• Educational assistance, including select programs fully paid.
• Robust wellness program with financial incentives.
• Maternity and/or parental leave.
• Up to 11 paid holidays each year and 9 occasional absence days each year, unless otherwise required by law.
• 15 to 25 vacation days each year, depending on career level.

EEO and compliance notes

• PNC provides equal employment opportunity regardless of protected categories under law.
• This position is subject to requirements of Section 19 of the FDIA and may be subject to SAFE Act and/or FINRA rules for registered roles, including restrictions related to certain criminal history.
• California residents should refer to the CCPA Privacy Notice to understand how PNC may use or disclose personal information in hiring practices.

Application accommodations and window

• For disability accommodations during the application process, contact [e-mail], or call 877-968-7762 and say “Workday”.
• The opening is generally expected to be posted for two business days starting 11/06/2026, though it may be longer with business discretion.