Senior Data Scientist - Audit Analytics & AI

PNC Financial Services Group

Raleigh (NC)

On-site

USD 91,000 - 186,000

Full time

6 days ago
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Benefits offered by this job

Medical coverage
Paid time off
401(k) match

Job summary

PNC's Internal Audit department seeks a Senior Data Scientist to design and deliver advanced analytics, AI-enabled solutions, and risk-focused models. You will partner with audit teams, business partners, and technology teams to turn data into actionable insights and improve audit effectiveness.

The role requires 5+ years in data science, strong Python/SQL, ML, NLP experience, and ability to communicate with non-technical audiences.

Qualifications

  • Advanced degree in a relevant field or equivalent experience in data science.
  • 5+ years of industry experience in data science or analytics.
  • Experience leading analytics projects and data product development.
  • Strong communication skills with technical and non-technical stakeholders.

Responsibilities

  • Lead design, development, testing, deployment, and maintenance of advanced analytics and AI-enabled solutions for Internal Audit.
  • Collaborate with audit teams to translate challenges into analytical data products.
  • Develop predictive, diagnostic, anomaly detection, and risk-focused models for audit processes.
  • Build scalable analytics frameworks and data pipelines for audit lifecycle.
  • Mentor teammates and promote best practices in data science and analytics engineering.

Skills

Python
SQL
Pandas
Scikit-learn
NLP
TensorFlow
ML

Education

Masters

Tools

GitHub
Hadoop
Spark
Power BI
Tableau

Job description

PNC's Internal Audit department seeks a Senior Data Scientist to design and deliver advanced analytics, AI-enabled solutions, and risk-focused models. You will partner with audit teams, business partners, and technology teams to turn data into actionable insights and improve audit effectiveness.

The role requires 5+ years in data science, strong Python/SQL, ML, NLP experience, and ability to communicate with non-technical audiences.

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