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# Data Scientist

- **Company:** Berkshire Hathaway
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Database, Computer Programming, Python (Programming Language), Machine Learning, Standard Sql, Large Language Models, Generative AI, Git, Information Technology, Data Analytics, Non-relational Database, Software Version Control, Databricks
- **Published:** September 26, 2026
- **Apply:** https://www.juju.com/job/16_12fe7e11

## About the Role

* 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

## Description

The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities., * 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.


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