Senior Data Scientist

PNC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Pittsburgh, PA
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Oct 30, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $168k
$102k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $135,000–$200,787.

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 127 open roles on FindRole.

Listed pay typically runs $94,875–$172,500 across 7 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist

As a Data Scientist Sr within the Data, Modeling, and Analytics organization, you will lead the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. You will direct the gathering, processing, and mining of large, complex datasets while developing algorithms using advanced mathematical and statistical techniques like machine learning to predict outcomes and recommend optimal actions. Your daily work involves conducting methodical experiments for product and process optimization and presenting findings through visualization technologies and data storytelling. Collaborating with Data Architects, Analysts, Engineers, and Visualization Experts, you will build data-driven solutions. The role requires expertise in data mining, modeling, information capture, and query and database access tools to solve complex business problems and provide strategic recommendations for management.

What does a Data Scientist earn?

Median $162000 from 278 postings across 59 companies.

See salary data

What you'll do

  • Implement analytical projects using structured and unstructured data to extract actionable business insights.
  • Direct the gathering, processing, and mining of large and complex datasets.
  • Develop machine learning algorithms and statistical models to predict outcomes and recommend actions.
  • Conduct methodical experiments to identify opportunities for product and process optimization.
  • Present findings to management using visualization technologies and data storytelling techniques.
  • Partner with technical teams to develop data-driven solutions for the business.
  • Manage risks associated with business objectives to ensure compliance with enterprise risk frameworks.

What we're looking for

  • A university or college degree is required for this role.
  • Candidates must have 5+ years of industry-relevant experience.
  • Experience with data mining, machine learning, and advanced mathematical techniques is required.
  • Proficiency in data analytics and modeling is required.
  • Ability to use visualization technologies and data storytelling to present insights to management is required.
  • Analytical thinking and competitive advantages are preferred.
  • Knowledge of data architecture, information capture, and query/database access tools is required.

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