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

Liberty Mutual

Director, Data Science

Boston, MA · On-site +1

You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem ... Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

... our Data Science team. The Scientist will be performing Next Generation Sequencing (NGS) data ... insurance, recognition programs among other great benefits (all benefits are subject to eligibility ...

New

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

... our Data Science team. The Scientistwill be performing Next Generation Sequencing (NGS) data ... insurance, recognition programs among other great benefits (all benefits are subject to eligibility ...

MSD Malaysia

Associate Director, Data Science

Boston, MA · On-site

$160 - $251/hr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is ... Available benefits include medical, dental, vision healthcare and other insurance benefits (for ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... Medical, Dental, Vision, & Life insurances * Fitness & Wellness programs including a fitness ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... Medical, Dental, Vision, & Life insurances * Fitness & Wellness programs including a fitness ...

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Data Science Insurance information

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$24.6K

$116K

$218.9K

How much do data science insurance jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data science insurance in Boston, MA is $116,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,666.00 and $164,857.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the most commonly searched types of Data Science Insurance jobs in Boston, MA?

The most popular types of Data Science Insurance jobs in Boston, MA are:

What are popular job titles related to Data Science Insurance jobs in Boston, MA?

For Data Science Insurance jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Insurance jobs in Boston, MA look for?

The top searched job categories for Data Science Insurance jobs in Boston, MA are:

Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $116,049 per year, or $55.8 per hour.

Director I, Data Science, Enterprise Data & Data Science

Liberty Mutual Insurance

Boston, MA • On-site, Remote

$137K/yr

Full-time

Re-posted 11 days ago

Liberty Mutual rating

8.7

Company rating: 8.7 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance

Job description

Description
We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy-including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization.
Responsibilities:
  • Design, build, and evaluate generative AI solutions and agentic systems
  • Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
  • Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
  • Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
  • Champion best practices and tooling across a broad data science community
  • Lead cross-functional working groups and contribute to innovation in AI/ML methods
  • Communicate complex technical findings clearly to non-technical stakeholders
  • Serve as a technical consultant on complex, high-impact projects
  • Please note this is an individual contributor role

Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

Preferred Experience:
  • Strong foundation in data science and machine learning
  • Proven MLOps expertise across the complete data science lifecycle
  • Experience building GenAI solutions and agentic systems
  • Familiarity with GenAI evaluation methodologies
  • Experience with data semantic layers and/or knowledge graphs
  • Track record of cross-functional collaboration in a large enterprise environment
  • Ability to work ET hours

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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