Senior Data Scientist, Catastrophe Risk & Analytics

BHSI; Boston (MA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health, Dental and Vision benefits

Disability Insurance

Life Insurance

401(k) with company match

Paid time off

Job summary

Berkshire Hathaway Specialty Insurance (BHSI) is hiring a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team. You will build models for natural catastrophes, hazards, and cyber risks, evaluate vendor models, and develop internal tools to aid underwriting decisions.

The role spans across perils, data sources, and platforms, requiring strong statistical and ML expertise, collaboration with domain experts, and the ability to communicate complex results to

Qualifications

• Advanced degree in a quantitative discipline (MS/PhD).
• Strong grounding in probability, statistics, stochastic processes, and Bayesian stats.

Responsibilities

• Evaluate and integrate large/diverse data sets from claims, hazard models, and geospatial sources.
• Develop advanced data science, ML, and AI techniques for insurance risk.
• Collaborate with actuaries, underwriters, and engineers to enhance data usage.
• Propose innovative solutions to support underwriting decisions.

Skills

Probability models

Statistics

Machine learning

Time-series

Python

R

SQL

Git & Docker

Big data

Bayesian methods

Education

Advanced degree in Statistics/Actuarial/Data Science

Strong foundation in probability theory & Bayesian statistics

Tools

Python (NumPy, pandas, scikit-learn)

R (statistical packages)

SQL

Git

Docker

Spark/Databricks/AWS/GCP/Azure

Job description

Berkshire Hathaway Specialty Insurance (BHSI) is hiring a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team. You will build models for natural catastrophes, hazards, and cyber risks, evaluate vendor models, and develop internal tools to aid underwriting decisions.

The role spans across perils, data sources, and platforms, requiring strong statistical and ML expertise, collaboration with domain experts, and the ability to communicate complex results to