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Associate Data Scientist - Anti Money Laundering Analytics & Modeling - PNC Financial Services Group
Data Scientist
Associate Data Scientist focused on developing and deploying machine learning models to detect money‑laundering activities, leveraging Python, SQL, and advanced statistical techniques to analyze large financial datasets.
About the role
Key Responsibilities
- Design, build, and validate predictive models for AML detection using Python and SQL.
- Engineer features from transactional and customer data to improve model performance.
- Collaborate with cross‑functional teams to integrate models into production pipelines.
- Perform data exploration, statistical analysis, and visualizations to uncover insights.
- Document model logic, assumptions, and performance metrics for regulatory compliance.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or related field.
- 1–2 years of experience in data science or analytics roles.
- Proficiency in Python (pandas, scikit‑learn) and SQL.
- Strong foundation in statistical modeling and machine learning concepts.
- Excellent communication skills and ability to translate technical findings to business stakeholders.
Skills
pythonsqlmachine learning