Data Scientist (Gen AI Governance)

PNC

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Salary: $86,250–$158,125 / yr
Posted: 3 days ago
Nearby: 65 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $122k

$70k most similar roles pay here $240k

This role pays less than 95% of similar roles. Most pay $133,214–$211,200 — the shaded band above. At the midpoint, this role pays about $122k versus about $172k 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 75 open roles on FindRole.

Listed pay typically runs $86,250–$165,600 across 7 roles with salary data.

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View all roles at PNC

At a glance

TL;DR · Data Scientist (Gen AI Governance)

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As a Data Scientist within PNC's Data and Automation organization, you will play a critical role in ensuring that Technology and Generative AI solutions comply with enterprise governance, risk, and control standards. Your day-to-day responsibilities include evaluating complex data sets and models to assess risk and provide actionable feedback, performing analytical tasks on structured and unstructured data, developing machine learning algorithms for business outcomes prediction, and running experiments to optimize products and processes. You will work closely with Data Architects, Analysts, Engineers, and Visualization Experts to develop data-driven solutions. The ideal candidate has experience in AI/ML governance, model risk management, and working in highly regulated environments. Familiarity with enterprise governance frameworks and proficiency in Microsoft productivity tools are essential, while exposure to AI/ML lifecycle tooling is a plus. This role requires strong analytical skills and the ability to articulate complex technical concepts clearly to non-technical stakeholders.

Skills

Excel PowerPoint Word Teams SharePoint AI/ML lifecycle tooling SAS Python R SQL Tableau Jupyter Notebook Git GitHub MLOps CI/CD PostgreSQL BigQuery Hadoop Spark

What you'll do

Evaluates complex data sets and models to assess risk and control effectiveness.
Develops algorithms using machine learning techniques to predict business outcomes.
Runs analytical experiments to optimize products and processes systematically.
Extracts actionable insights from structured and unstructured data for decision-making.
Assists in presenting business insights to management through visualization technologies.

What we're looking for

Experience in AI/ML or GenAI governance and model risk management.
Strong background in risk assessment, control evaluation, and issue remediation.
Familiarity with enterprise governance frameworks and audit concepts.
Ability to articulate complex technical and governance concepts clearly.
Experience working in highly regulated or large-scale enterprise environments.
Proficiency in standard Microsoft productivity tools (Excel, PowerPoint, Word).
Exposure to AI/ML lifecycle tooling and model documentation preferred.

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