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About the Role

Berkshire Hathaway Specialty Insurance (BHSI) seeks a Data Scientist / Senior Data Scientist for the Catastrophe Engineering and Analytics (CAT E&A) team. This role involves applying cutting-edge data science techniques to enhance risk assessment for natural catastrophes, natural hazards, building vulnerability, and man-made risks. You will evaluate vendor models, develop internal risk views, consult on account analyses, and create tools to support underwriting decisions.

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.

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 is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments
Experience with Databricks or other cloud-based data and analytics platforms preferred
Highly motivated, detail oriented, and team player

Skills

Data Science
Machine Learning
Artificial Intelligence
Probability Theory
Statistics
Python
R
SQL
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Relational Databases
Non-relational Databases
Git
Databricks
Cloud-based data and analytics platforms

Location

Atlanta, GA
Boston, MA
San Ramon, CA

Work Type

Full-time

Experience Level

3-6 years
Senior Data Scientist

Education Level

Ph.D.
M.S.

Salary/Compensations

$100,000 to $160,000

Benefits

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement
Paid Parental Leave

About the Company

Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing commercial property, casualty, and specialty insurance coverages globally.
BHSI operates with a strong brand name, a top-rated balance sheet, and a global team of professionals.
We are a values-based organization guided by respect, integrity, excellence, collaboration, and passion.
We value diversity and strive to foster an inclusive environment.
We are committed to building a culture where every teammate has the opportunity to contribute and be recognized.

Equal Opportunity

We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work.
We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized.