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Data Scientist Insurance Jobs in Boston, MA (NOW HIRING)

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$120K - $135K/yr

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

Kemper

Data Scientist

Boston, MA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

Kemper

Data Scientist

Boston, MA · Hybrid

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of ... The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting ...

The Hollister Group

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ... Familiarity with healthcare systems, insurance claims, or clinical data is a plus but not required.

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... We are looking for a Principal Data Scientist with deep, specialized expertise to lead our ...

Chewy

Senior Data Scientist

Boston, MA

$109K - $190K/yr

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... We are looking for a Senior Data Scientist to advance our core AI models and drive them to market ...

Chewy

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Chewy

Data Scientist I

Boston, MA · On-site

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

MORSE Corp

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

New

Humana

Senior Data Scientist

Boston, MA · Hybrid

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

Humana

Senior Data Scientist

Boston, MA · Hybrid

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

Manulife Financial

Senior Data Scientist

Boston, MA · On-site

$107.45 - $199.55/hr

We are seeking a highly skilled and motivated Senior Data Scientist - GenAI to join the Long Term ... John Hancock Life Insurance Company (U.S.A.) #J-18808-Ljbffr

New

Humana

Senior Data Scientist

Boston, MA · Hybrid

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

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Showing results 1-20

All JobsData Scientist Insurance JobsData Scientist Insurance Jobs in Boston, MA

Data Scientist Insurance information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do data scientist insurance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist insurance in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.
What are popular job titles related to Data Scientist Insurance jobs in Boston, MA? For Data Scientist Insurance jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Insurance jobs in Boston, MA look for? The top searched job categories for Data Scientist Insurance jobs in Boston, MA are:
Data Scientist Insurance jobs near you
Infographic showing various Data Scientist Insurance job openings in Boston, MA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. 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. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Job Opportunity:

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

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.

Duties & 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.

Qualifications, Skills and Experience:

  • 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

BHSI Offers:

  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • 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

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.