Data Scientist Senior - Data, Modeling & Analytics

PNC

Quick summary

Work type
On-site
Location
PA · VA · DC
Salary
$91,000–$169,000 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $153k
This role $130k
$80k most similar roles pay here $197k

This role pays less than 68% of similar roles. Most pay $126,800–$178,401 — the shaded band above. At the midpoint, this role pays about $130k versus about $153k 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 Senior - Data, Modeling & Analytics

The Data Scientist Senior role at PNC’s Data, Modeling & Analytics team in Pittsburgh, Tysons Corner, or Washington DC involves leading analytical projects that leverage large datasets to provide actionable insights. This position requires developing algorithms using advanced mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend strategic actions. Day-to-day responsibilities include conducting methodical experiments for product and process optimization, as well as presenting findings through data visualization and storytelling. Ideal candidates possess expertise in Python, PyTorch, Spark, and SQL, with a focus on NLP and fine-tuning open-source transformer models. Strong collaboration skills and the ability to communicate technical concepts effectively are crucial, along with experience in big data platforms and cloud-native model deployment.

What you'll do

  • Leads the implementation of analytical projects using vast amounts of structured and unstructured data.
  • Develops algorithms using advanced mathematical and statistical techniques to predict business outcomes.
  • Conducts methodical analytical experiments to optimize products and processes.
  • Presents business insights to management through visualization technologies and data storytelling.
  • Designs and evaluates machine learning models for robustness, fairness, and performance.

What we're looking for

  • Master’s degree in data science, computer science, engineering, applied mathematics or related field.
  • At least 5 years of experience in data science or machine learning projects, including 2+ years in NLP.
  • Expertise in Python, PyTorch, Spark, SQL, and MLOps with strong software practices.
  • Strong background in Mathematics and Statistics for innovative problem-solving.
  • Experience with big data platforms and cloud-native model development/deployment.
  • Research mindset: reads/reproduces papers, evaluates models for robustness and fairness.

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