Data Scientist - Corporate & Institutional Banking

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PA · Philadelphia, PA · Cleveland, OH · Birmingham, AL · Wilmington, DE · Charlotte, NC · Houston, TX
Salary
$86,250–$172,500 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $129k
$71k most similar roles pay here $232k

This role pays less than 73% of similar roles. Most pay $126,800–$197,820 — the shaded band above. At the midpoint, this role pays about $129k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 152 open roles on FindRole.

Listed pay typically runs $86,250–$185,525 across 58 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Scientist - Corporate & Institutional Banking

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PNC seeks a Data Scientist to join its Corporate and Institutional Banking (C&IB) team in various locations. This role involves collaborating with stakeholders to develop interpretable machine learning models and analytical solutions that address complex business challenges, spanning sales, credit underwriting, and operations. The ideal candidate will use Python or R for data exploration and analysis, design scalable production-ready solutions, and communicate effectively across teams to ensure accurate implementation. Key skills include strong programming experience in Python or R, SQL proficiency, Apache Spark knowledge, and familiarity with machine learning and generative AI techniques. Experience in credit, accounting, or financial operations is preferred, as well as a background in entity resolution and record linkage.

Skills

Python R SQL Apache Spark Git Machine Learning Generative AI R Shiny Dash Flask

What you'll do

  • Use Python or R to explore data and develop interpretable machine learning models.
  • Design and validate analytical solutions, ensuring they are production-ready through testing and validation.
  • Communicate effectively across teams to gather requirements and ensure accurate implementation of business needs.
  • Define and track performance metrics for analytical solutions to measure their effectiveness and impact.
  • Develop interactive dashboards using Python or R-based frameworks to visualize and monitor analytical results.

What we're looking for

  • 2-3 years of post-graduate experience as a Data Scientist or in a comparable analytics role.
  • Strong programming skills in Python and/or R, including SQL for large datasets.
  • Experience developing and validating machine learning models with feature engineering.
  • Familiarity with Generative AI solutions and related architectural approaches.
  • Ability to design interactive dashboards using frameworks like R Shiny or Dash.
  • Ownership of end-to-end delivery from prototype through production deployment.

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