Data Scientist, Retail Banking — ML & Predictive Modeling

PNC; Pittsburgh (Allegheny County); Hybrid; USD 86,000 - 173,000; Full time

Job summary

PNC Financial Services Group, Inc. invites applications for a Data Scientist in its Retail Banking ML & Predictive Modeling group. Based in Pittsburgh, PA; Cleveland, OH; or Tyson's Corner, VA, you will build predictive models, run experiments, and translate results for leadership.

The role emphasizes large-scale data, production-ready modeling, and collaboration with risk, analytics, and business teams. A strong foundation in math, statistics and programming is required, with preference for

Qualifications

• Bachelor's degree in statistics, mathematics, data science, CS, economics, finance, or engineering.
• 2–3 years of professional experience in data science, predictive analytics, or quantitative analysis.
• Experience building and evaluating predictive models on large datasets.
• Strong communication of technical results to non-technical stakeholders.

Responsibilities

• Perform analytical tasks on large structured and unstructured data to extract insights.
• Develop algorithms using machine learning and statistics to predict outcomes and guide actions.
• Design experiments and evaluate model performance for business decisions.
• Present findings to management using visualizations and storytelling.

Skills

Python

R

SQL

Machine Learning

Statistical Modeling

Big Data

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative discipline

Tools

PySpark

R Shiny

Hadoop

AWS

Teradata

Hive

Trino

Job description

PNC Financial Services Group, Inc. invites applications for a Data Scientist in its Retail Banking ML & Predictive Modeling group. Based in Pittsburgh, PA; Cleveland, OH; or Tyson's Corner, VA, you will build predictive models, run experiments, and translate results for leadership.

The role emphasizes large-scale data, production-ready modeling, and collaboration with risk, analytics, and business teams. A strong foundation in math, statistics and programming is required, with preference for