PNC · 2 days ago
Data Scientist - Balance Sheet Analytics & Modeling
PNC is a leading financial services company committed to delivering the best experience for its customers. The Data Scientist will perform analytical tasks on large datasets to extract actionable business insights and develop algorithms to predict business outcomes, while collaborating with cross-functional teams to create data-driven solutions.
FinanceBankingFinancial Services
Responsibilities
Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights
Participates in the data gathering, data processing and data mining of large and complex datasets
Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management
Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling
May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business
Qualification
Required
Master's degree in data science, computer science, engineering, applied mathematics or related field
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, Spark, and SQL
Solid software practices (testing, packaging, CI)
MLOps familiarity
Experience with big data platforms
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
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
Customer‑focused and risk‑aware; comfortable aligning work with governance expectations
Preferred
PhD degree is preferred but not required
Experience with cloud-native model development and deployment preferred
Previous experience in financial services industry is not required but is considered a plus
Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Benefits
Medical/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/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
A robust 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
Between 15 to 25 vacation days each year, depending on career level
Company
PNC
PNC is a financial service company providing bank deposits products and services to its community.
Funding
Current Stage
Public CompanyTotal Funding
unknown1975-11-17IPO
Leadership Team
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