Assistant Vice President, Technology GRAC

Duties & Responsibilities

• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills And Experience

• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field.
• 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role.
• Advanced knowledge of probability theory, statistics, and machine learning methods.
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection.
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows.
• Strong written and verbal communication skills.
• Strong programming skills in Python (preferred), R, and SQL.
• Experience and understanding of relational and non-relational databases.
• Experience with Databricks or other cloud-based data and analytics platforms.
• Highly motivated, detail oriented, and team player.