Senior Data Scientist
Core
Lead the design and deployment of high-impact machine learning and Generative AI solutions for fraud detection and risk analytics in the Long Term Care sector.
Role type
Senior IC Data Scientist (GenAI & Fraud Analytics)
Builds
Production-ready probabilistic models, anomaly detection systems, and RAG applications for fraud prevention.
Domain
Insurance / Financial Services / Generative AI
Deliverable
production ML models
Required skills
Generative AI development, RAG system architecture, LLM fine-tuning, probabilistic modeling, anomaly detection, Python, PyTorch, SQL, graph databases
Preferred skills
Software engineering best practices, cross-functional collaboration, critical problem solving
Technologies
Azure, GPT models, Neo4j, Cosmos DB, Hugging Face, scikit-learn
Responsibilities
Lead end-to-end development of fraud detection models; Perform advanced modeling on large datasets to identify fraud patterns; Build and optimize modular RAG systems; Apply LLMs to parse complex documents and extract structured information; Collaborate with data engineers to integrate solutions; Review code and models of other data scientists.
Seniority
Senior, hands-on IC