Data Scientist Senior, Internal Audit

PNC

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Pittsburgh, PARaleigh, NCDowners Grove, ILBirmingham, ALCleveland, OH
Salary: $91,000–$185,900 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k

This role $138k

$78k $215k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $128,825–$184,187 — the blue band above. At the midpoint, this role pays about $138k versus about $157k 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.

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View all roles at PNC

At a glance

TL;DR · Data Scientist Senior, Internal Audit

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The Data Scientist Senior - Internal Audit joins the Internal Audit organization to redefine how risk is identified, monitored, and assessed across the enterprise. You will lead the design, development, and deployment of advanced analytics, machine learning, and AI-enabled solutions to enhance audit effectiveness and operational insights. Daily responsibilities include building scalable predictive models, anomaly detection tools, and automated workflows to support continuous monitoring and strategic decision-making. You will utilize Python, SQL, Pandas, NumPy, Scikit-learn, PySpark, and TensorFlow within Hadoop-based platforms. The role requires expertise in NLP, statistical modeling, and source control via GitHub. You will also leverage generative AI, LLMs, and RAG technologies to move audit practices from descriptive reporting toward proactive, AI-enabled risk identification and governance within a complex enterprise data ecosystem.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

Skills

Python SQL Machine Learning Generative AI Large Language Models NLP PySpark TensorFlow Scikit-learn Pandas NumPy Hadoop GitHub Artifactory Conda Pip Power BI Tableau RAG Prompt Engineering Data Mining Statistical Modeling

What you'll do

Lead the design, development, testing, deployment, and maintenance of advanced analytics, machine learning, and AI-enabled solutions.
Translate business challenges and audit objectives into scalable analytical solutions and data products.
Develop predictive, diagnostic, and anomaly detection models to improve audit planning and continuous monitoring.
Build reusable analytical frameworks and workflows to drive efficiency across the audit lifecycle.
Identify opportunities to leverage automation, machine learning, and generative AI to enhance risk identification.
Support model deployment, data pipeline development, and ongoing solution maintenance with technology and data partners.
Ensure all analytical solutions comply with established governance, validation, testing, and documentation standards.
Communicate complex analytical results and strategic recommendations to both technical and non-technical audiences.

What we're looking for

Roles at this level typically require a university or college degree.
5+ years of industry-relevant experience is required.
Advanced proficiency in Python and SQL is required.
Experience with data manipulation and analytical libraries such as Pandas, NumPy, Scikit-learn, PySpark, or TensorFlow is required.
Experience with machine learning, statistical modeling, predictive analytics, and data science methodologies is required.
Experience with natural language processing (NLP), text analytics, and analysis of unstructured data is required.
Experience with generative AI, large language models (LLMs), prompt engineering, or RAG is preferred.
Understanding of AI governance, model risk management, and responsible AI practices is preferred.