Principal/Senior Technology Risk Analyst

Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner, providing commercial property, casualty, and specialty insurance coverages globally. As part of Berkshire Hathaway’s insurance operations, we combine a top-rated balance sheet, global expertise, and a values-based culture centered on respect, integrity, excellence, collaboration, and passion. We foster an inclusive environment where diverse perspectives thrive and every teammate contributes meaningfully.

About the role

The Catastrophe Engineering and Analytics (CAT E&A) team is seeking a Data Scientist / Senior Data Scientist to apply cutting-edge data science techniques that enhance our view of risk across multiple perils. You will collaborate with domain experts to develop models for natural catastrophes, hazards, building vulnerability, and man-made risks (e.g., cyber, casualty). Responsibilities include evaluating vendor models, researching internal risk perspectives, consulting on account-specific analyses, and building tools to support underwriting decisions.

Responsibilities

• Evaluate and develop insights from large, diverse datasets including claims, hazard models, structural analysis, geospatial sources, and public/proprietary data.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques for risk assessment.
• Collaborate with domain experts across teams and perils to enhance data utilization.
• Propose and execute innovative solutions to insurance challenges that directly impact BHSI underwriting decisions.

Requirements

• 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 (required for Senior Data Scientist level).
• Advanced knowledge of probability theory, statistics, and machine learning methods.
• Experience in insurance, catastrophe model development, cyber/casualty risk modeling, or exposure data collection (preferred).
• Experience applying statistical techniques and machine learning to large datasets, particularly in structural performance, natural hazards, geospatial data, or insurance claims.
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their applications (a plus).
• Strong programming skills in Python (preferred), R, and SQL.
• Experience with relational/non-relational databases and git-based version control.
• Experience with Databricks or other cloud-based analytics platforms (preferred).
• Highly motivated, detail-oriented, and collaborative team player.

Skills

• Strong written and verbal communication.

Benefits

• Comprehensive health, dental, and vision benefits.
• Disability insurance (short-term and long-term).
• Life and accidental death & dismemberment insurance (for you and family).
• Flexible spending accounts and health reimbursement account.
• Employee assistance program.
• 401(k) plan with company match.
• Generous paid time off and holidays.
• Tuition reimbursement.
• Paid parental leave.

Pay

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, with annual bonus eligibility. Total compensation is determined by skills, location, and experience.