Principal Data Scientist, Bank Customer Protection Debit & Claims
Core
Build machine learning models for real-time decision systems to detect fraud, prevent scams, and process customer claims in banking.
Role type
Principal Data Scientist (Fraud Detection & Claims)
Builds
Real-time fraud prevention models and claims processing systems
Domain
Financial Services / Fraud Detection / Claims Processing
Deliverable
production ML models
Required skills
Machine learning model development, statistical modeling, Python, SQL, AWS, representation learning, gradient boosting, clustering, classification, time series analysis, deep learning
Preferred skills
LLM application, cross-functional project coordination, STEM PhD
Technologies
Python, Conda, AWS, H2O, Spark
Responsibilities
Build ML models through design, training, evaluation, validation, and implementation; analyze historical transaction activity and account usage to detect fraud signals; partner with cross-functional teams to deliver customer-facing products
Seniority
Principal, hands-on IC with strategic impact
