Data Scientist – Corporate & Institutional Banking

PNC

. Explore data, perform analysis, and rapidly prototype analytical approaches using Python or R .

Posted 10/13/2026full-timeUnited StatesJuniorMid-Level💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, machine learning model development, and the ability to communicate insights effectively. Proficient in Python and R for analytical solutions, with a strong foundation in SQL and experience in deploying scalable data-driven applications.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentSQL ProficiencyData VisualizationApache Spark Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesFeature EngineeringGenerative AI SolutionsDashboard DevelopmentData MiningPerformance Metrics TrackingAnalytical ExperimentationData ProcessingAlgorithm Development

Soft Skills

CollaborationCommunicationDocumentation

Tools & Technologies

R ShinyDashFlaskGitPySparkSpark SQL

Industry Keywords

Data ScienceBusiness InsightsAnalytical SolutionsProduction ReadinessUser Stories

Tech Stack

Tools & technologies

ApacheFlaskPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Explore data, perform analysis, and rapidly prototype analytical approaches using Python or R
Design, develop, validate, and monitor interpretable machine learning models
Deliver analytical solutions from prototype through testing, validation, and scalable production deployment
Collaborate with engineering and testing partners to ensure production readiness
Gather and document requirements across business, product, and engineering teams
Communicate analytical solutions and ensure business needs are accurately implemented
Define and track performance metrics to measure solution effectiveness and business impact
Perform analytical tasks on structured and unstructured data to extract actionable business insights
Conduct data gathering, processing, and mining of large and complex datasets
Develop algorithms using advanced mathematical and statistical techniques to predict business outcomes and recommend actions
Run analytical experiments to identify product and process optimization opportunities
Present 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 solutions

Requirements

What you’ll need

2–3 years of relevant, post-graduate professional experience as a Data Scientist or in a comparable analytics role
Ability to design and develop interactive dashboards using Python- or R-based frameworks such as R Shiny, Dash, or Flask
Strong programming experience in Python or R
Strong SQL skills and experience working with large datasets
Experience with Apache Spark using PySpark, sparklyr, or Spark SQL
Experience with Git or comparable version control tools
Experience developing and evaluating traditional machine learning models, including feature engineering and performance assessment
Experience building applied Generative AI solutions, including retrieval augmented generation and related architectural approaches
Experience producing business requirements, user stories, and test cases
Experience supporting testing, validation, and transitions from analytical prototype to production
Master’s degree in a quantitative field, or bachelor’s degree with equivalent practical experience
No employment visa sponsorship or STEM OPT
A university/college degree with 3+ years of relevant/direct industry experience is typically required; comparable 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
15 to 25 vacation days each year, depending on career level and years of service