Senior Data Scientist - Internal Audit Analytics & AI

PNC; Cleveland (OH); Sur place; USD 91 000 - 186 000; Plein temps

Avantages offerts par ce poste

Medical/dental/vision coverage

401(k) with company match

Paid holidays and PTO

Résumé du poste

PNC is seeking a Senior Data Scientist for Internal Audit, based in Cleveland, OH, with opportunities to contribute across multiple office locations. You will develop production-ready analytics and AI-enabled solutions to strengthen risk identification, planning, testing, and reporting.

You will mentor colleagues, partner with auditors, data engineers and technology teams, and drive innovation in governance, validation and lifecycle management of analytic solutions.

Qualifications

• Advanced proficiency in Python and SQL is required.
• Experience with Pandas, NumPy, Scikit-learn, PySpark, TensorFlow or similar.
• Experience with large-scale data environments and distributed processing.
• Knowledge of GitHub with code management and reviews.
• Experience with NLP, document analytics and unstructured data.

Responsabilités

• Lead design, development, testing, deployment of advanced analytics and AI solutions for Internal Audit.
• Translate business challenges into analytical data products with stakeholders.
• Develop predictive, diagnostic and anomaly detection models for audit planning and monitoring.
• Build scalable frameworks and data pipelines for reuse across the audit lifecycle.
• Collaborate with data engineers, architects and visualization experts to productionize models.

Connaissances

Python

SQL

Pandas

NumPy

Scikit-learn

PySpark

TensorFlow

NLP

Generative AI

GitHub

Formation

Masters

Outils

Artifactory

Conda

pip

Power BI

Tableau

Hadoop

Description du poste

PNC is seeking a Senior Data Scientist for Internal Audit, based in Cleveland, OH, with opportunities to contribute across multiple office locations. You will develop production-ready analytics and AI-enabled solutions to strengthen risk identification, planning, testing, and reporting.

You will mentor colleagues, partner with auditors, data engineers and technology teams, and drive innovation in governance, validation and lifecycle management of analytic solutions.