Data Scientist Senior - Data, Modeling & Analytics

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 Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA or Washington, DC. Preferred Skills & Experience: • Master’s degree in data science, computer science, engineering, applied mathematics or related field. A PhD degree is preferred but not required. • At least 5 years of experience with direct data science or machine learning projects in industry, with 2+ years, specifically in NLP. • Strong background in Mathematics and Statistics. Demonstrable mathematical inventiveness for novel problem solving (via probability, optimization, information theory, linear algebra) • Very strong expertise in data collection, cleaning, preprocessing, and transforming data. • Expert programming skills in Python, , PyTorch, Spark, and SQL. Solid software practices (testing, packaging, CI). MLOps familiarity. • Experience with big data platforms. Experience with cloud-native model development and deployment preferred. • Research mindset reads/reproduces papers; designs baselines/ablations; evaluates for robustness, drift, and fairness. Meticulous about data quality, reproducibility, and experiment tracking. • Experience in transfer learning and in fine tuning open-source transformer models. Creative and pragmatic: chooses the simplest high impact approach (prompting, adapters, retrieval, distillation) before heavy training. • Practical NLP/LLM experience and awareness of evaluation pitfalls (hallucinations, prompt sensitivity, grounding). • Strong collaborator within and between cross-functional teams; excellent verbal and written communication skills; adapts communication to audience: effectively communicate technical concepts and results to both technical and business audiences • Curious, hardworking, detail-oriented, and action-oriented; motivated by complex analytical problems; investigates failure modes; documents learnings clearly. • Prioritizes pace over perfection and is comfortable in the face of changing circumstances and business priorities • Excited by the prospect of delivering value through the application of emerging technologies and techniques. • Previous experience in financial services industry is not required but is considered a plus. • Customer focused and risk aware; comfortable aligning work with governance expectations. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.   PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $91,000.00 – $169,000.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 05/05/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet