Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PNC

Associate Data Scientist – Corporate & Institutional Banking

PNC

Associate Data Scientist at PNC collaborating with teams to develop analytical solutions in Corporate & Institutional Banking. Utilizing Python or R for data analysis and machine learning tasks.

Posted 6/16/2026full-timePittsburgh • Alabama, North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $75,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
FlaskPythonSparkSQL

About the role

Key responsibilities & impact
  • Use Python or R to explore data, perform analysis, and contribute to prototyping analytical approaches within established workflows.
  • Support the development, validation, and monitoring of interpretable machine learning models using sound statistical and modeling techniques.
  • Contributes to the delivery of analytical solutions from prototype through testing and deployment, working closely with senior team members and engineering partners.
  • Support communication across business, product, and engineering teams by helping gather requirements and clearly explain analytical work and results.
  • Assist in defining and tracking performance metrics to measure solution effectiveness.
  • Actively learn and adopt best practices in model development, code quality, and production deployment.

Requirements

What you’ll need
  • 1-2 years of relevant professional experience in data science, analytics, or a related field (including internships/co-ops), or equivalent academic experience.
  • Proficiency in Python or R.
  • Strong SQL skills and experience working with large datasets.
  • Exposure to big data tools (e.g. Spark).
  • Familiarity with Git or version control concepts.
  • Machine Learning: Foundational understanding of machine learning concepts, including feature engineering and basic model evaluation.
  • Generative AI: Exposure to Generative AI concepts and tools.
  • Exposure to delivery artifacts such as business requirements, user stories, or test cases.
  • Experience supporting testing or validation of analytical solutions.
  • Ability to design and develop dashboards to communicate, visualize, and monitor analytical results using Python or R–based frameworks (e.g. R Shiny, Dash, Flask)

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 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; and years of service

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonRSQLMachine LearningFeature EngineeringModel EvaluationBig DataSparkDashboard DevelopmentData Analysis
Soft Skills
CommunicationCollaborationRequirement GatheringAnalytical ThinkingProblem Solving