Data Scientist, Corporate & Institutional Banking

PNC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Pittsburgh, PAPhiladelphia, PACleveland, OHBirmingham, ALWilmington, DECharlotte, NCHouston, TX
Salary
$86,250–$172,500 / yr
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $129k
$70k $236k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $131,500–$211,337 — the blue band above. At the midpoint, this role pays about $129k versus about $171k 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 159 open roles on FindRole.

Listed pay typically runs $91,000–$179,200 across 22 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Scientist, Corporate & Institutional Banking

JOB TITLE: Data Scientist - Corporate & Institutional Banking As a Data Scientist within the Corporate and Institutional Banking organization, you will collaborate with business stakeholders, product managers, and engineering teams to develop interpretable machine learning and analytical solutions. You will perform data exploration, prototype analytical approaches, and manage the end-to-end delivery of production-ready data products to address complex business problems across Sales, Credit, Underwriting, and Operations. Key responsibilities include designing and monitoring models, defining performance metrics, and translating business needs into scalable solutions. You will utilize Python, R, SQL, and Apache Spark, including PySpark or sparklyr. Technical requirements include experience with traditional machine learning, Generative AI, and retrieval augmented generation. You will also use Git for version control and build interactive dashboards using frameworks like R Shiny, Dash, or Flask.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Use Python or R to explore data, perform analysis, and prototype analytical approaches within repeatable workflows.
  • Design, develop, validate, and monitor interpretable machine learning models using sound statistical techniques.
  • Own the end-to-end delivery of analytical solutions from initial prototype through testing and scalable production deployment.
  • Act as a communication bridge to gather requirements and translate business needs into production-ready data products.
  • Define and track performance metrics to measure the effectiveness and business impact of analytical solutions.
  • Develop algorithms using advanced mathematical techniques to predict business outcomes and recommend optimal actions.
  • Create interactive dashboards to visualize and monitor analytical results using Python or R-based frameworks.

What we're looking for

  • 2–3 years of post-graduate professional experience as a Data Scientist or in a comparable analytics role.
  • Master’s degree in a quantitative field or a Bachelor’s degree with equivalent practical experience.
  • Strong programming experience in Python or R.
  • Strong SQL skills and experience working with large datasets.
  • Experience with Apache Spark using one or more languages.
  • Experience with Git or comparable version control tools.
  • Experience developing traditional ML models and building applied GenAI solutions.
  • Experience producing delivery artifacts like business requirements, user stories, and test cases.

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