Data Scientist – Retail Banking, ML, Predictive Modeling

PNC

. Perform analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights .

Posted 10/7/2026full-timeUnited StatesJuniorMid-Level💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and predictive analytics, with a strong foundation in statistical modeling and machine learning techniques. Proficient in developing and implementing predictive models using large datasets and communicating insights effectively to diverse audiences.

Highest-signal resume keywords

Statistical ModelingMachine LearningPredictive AnalyticsPython ProgrammingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingQuantitative AnalysisData MiningAlgorithm DevelopmentModel Performance Evaluation

Soft Skills

Strong Communication SkillsPresentation Skills

Tools & Technologies

PySparkR ShinySQLTeradataHadoopAWSOracleMySQLPostgreSQLGitHub

Industry Keywords

Credit Risk ModelingRetail Banking AnalyticsBusiness InsightsEnterprise Risk Management

Tech Stack

Tools & technologies

AWSHadoopMySQLOraclePostgresPySparkPythonSQL

About the role

Key responsibilities & impact

Perform analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights
Participate in data gathering, processing, and mining of large and complex datasets
Develop algorithms using advanced mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend optimal actions
Run analytical experiments to identify opportunities for product and process optimization
Assist in presenting business insights to management using visualization technologies and data storytelling
Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven business solutions
Expand existing production modeling frameworks
Collaborate with risk, strategy, analytics, and business teams
Manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework

Requirements

What you’ll need

Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Finance, Engineering, or a related quantitative field
2–3 years of professional experience in data science, predictive analytics, statistical modeling, machine learning, or quantitative analysis
Experience developing and implementing predictive models using large datasets
Strong understanding of statistical modeling, machine learning techniques, and model performance evaluation
Experience building and validating credit risk, retail banking, or customer analytics models
Proficiency in Python, R, or SAS
Experience with PySpark, R Shiny, or SQL
Experience with large-scale data environments and big data technologies, including Teradata, Hadoop, AWS, Impala, Hive, or Trino
Experience with relational database platforms such as Oracle, MySQL, PostgreSQL, or TOAD
Experience using GitHub or other version control platforms
Strong communication and presentation skills, with the ability to translate technical findings for non-technical audiences
No employment visa sponsorship or STEM OPT
Comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree

Benefits

Comp & perks

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 plan
Stock purchase plan
Dependent care reimbursement account
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
9 occasional absence days each year, unless otherwise required by law
15 to 25 vacation days each year, depending on career level
Incentive eligible based upon company, business and/or individual performance