Data Scientist Engineer

To support a growing data science team, the full-time hybrid Data Scientist Engineer will actively contribute to the insurance roadmap by building and productionizing data pipelines, designing LLM-based solutions, and leading client workshops to gather feedback and define project priorities. Key Responsibilities Build and productionize data pipelines for various data types optimized for LLMs and multi-modal models Design, develop, and deploy LLM-based solutions for subrogation, claims handling, and document understanding Lead client workshops, present prototypes, and gather feedback to help define roadmap priorities Required Qualifications Expert proficiency in production-level object-oriented programming for building scalable systems Proven hands-on experience with Large Language Models and generative AI techniques Solid foundation in machine learning fundamentals with practical experience in the full ML lifecycle Experience designing and implementing robust data pipelines for document and multi-modal data workflows Demonstrated ability to effectively engage with clients and translate complex business needs into actionable technical solutions