Principal Data Scientist, Bank Customer Protection Debit & Claims
Core
Build machine learning models for real-time decision systems to detect fraud, prevent scams, and improve claims processing for bank customers.
Role type
Principal Data Scientist (Fraud & Claims)
Builds
Real-time decision systems for customer protection and claims resolution
Domain
Financial Services / Fraud Detection / Claims Processing
Deliverable
production ML models
Required skills
Machine learning, Python, SQL, AWS, Statistical modeling, 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 products; Translate technical complexity into business goals.
Seniority
Principal, hands-on IC with strategy & mentorship
