← Back to jobs
Full-time

Data Scientist / Senior Data Scientist

$100K/yr – $160K/yr

Boston, MAIT & TechnologyPosted 30+ Days Ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$100K/yr – $160K/yr

Location

Boston, MA

Posted

30+ Days Ago

Job description

Berkshire Hathaway Specialty Insurance is a strategic insurance provider offering commercial property, casualty, and specialty insurance coverages. The company is seeking a Data Scientist / Senior Data Scientist to apply advanced data science, machine learning, and artificial intelligence techniques to catastrophe risk research, model development, and underwriting decision-making. The role also involves evaluating vendor models, researching exposure and risk, conducting account-specific analyses, and developing internal underwriting tools.

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

Preferred

  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Experience and understanding of relational and non-relational databases preferred
  • Experience with Databricks or other cloud-based data and analytics platforms preferred

Insurance experience

Catastrophe model development

Cyber risk modeling

Casualty risk modeling

Exposure data collection

Large language models

Retrieval-augmented generation

Data-driven workflows

Relational databases

Non-relational databases

Databricks

Cloud-based data platforms

Analytics platforms

Benefits

Exciting growth opportunities for career-oriented teammates

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

Annual bonus eligibility

Company

Specialty insurance and risk solutions for businesses

Boston, Massachusetts, USA

http://www.bhspecialty.com/

Founded in 2013

1001-5000 employees

Qualifications

  • 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
  • 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
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Comfort working within git-based version-control environments
  • Highly motivated, detail oriented, and team player
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Experience and understanding of relational and non-relational databases preferred
  • Experience with Databricks or other cloud-based data and analytics platforms preferred

Required skills

Probability Theory, Statistics, Machine Learning, Python, R, SQL, Insurance Risk Modeling, Catastrophe Model Development, Geospatial Data Analysis, Relational and Non-Relational Databases, Git, Databricks

Preferred skills

Written and Verbal Communication

Experience

3-6 years

Interested in this role?

Apply directly on the employer's website — it only takes a few minutes.

Similar vacancies

Other roles in Boston, MA or IT & Technology

Seattle, New York, San FranciscoIT & TechnologyPosted 30+ Days Ago

As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…