Principal Data & AI Scientist (Insurance Technology)

TL;DR

Principal Data & AI Scientist (Insurance Technology): Leading the development of advanced data and AI solutions to drive innovation in underwriting, claims, pricing, and customer engagement with an accent on building intelligent systems and automating workflows. Focus on designing machine learning models, developing scalable data pipelines, and ensuring compliance with ethical AI standards.

Location: Remote (FL, TX, WA, OR, OH, ID, SC)

Company

Company description not provided.

What you will do

• Design and deploy machine learning models using supervised and unsupervised techniques.
• Build Retrieval-Augmented Generation (RAG) pipelines for decision support.
• Apply NLP and generative AI to automate workflows and personalize customer experiences.
• Leverage vector databases and knowledge graphs to enhance automation in insurance operations.
• Drive MLOps best practices for model lifecycle management, CI/CD, and performance optimization.
• Collaborate with cross-functional teams to identify AI opportunities and define strategy.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field (Master’s or Ph.D. preferred).
• 10+ years of experience in enterprise AI/ML development and deployment.
• 7+ years working with cloud platforms such as Azure ML, Databricks, and Snowflake.
• Expertise in Gen AI, RAG pipelines, NLP, and vector-based search.
• Experience in insurance domains (Auto, Home, Umbrella) is required.