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Data Science Insurance Jobs in Massachusetts (NOW HIRING)

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... Everything you would expect on a world-class data science team solving world-class problems. Big ...

Bachelor's or Master's degree in Data Science, Supply Chain Management, Operations Research ... What We Offer We offer competitive health insurance, retirement plans, paid time off, employee ...

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The ... Management/Insurance - Applies statistical analysis, machine learning, data preparation ...

In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait ... As Manager, Data Science - Provider Products, you'll lead the analytical team that helps Zocdoc ...

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Data Science Reports To: Emily Strong - Senior Manager, Data Science Location: Watertown, MA ... Benefits Health: medical, dental, vision, and life insurance, an employer-funded HSA, and short ...

Showing results 41-60

Data Science Insurance information

See Massachusetts salary details

$24.7K

$116.3K

$219.4K

How much do data science insurance jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science insurance in Massachusetts is $116,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,784.00 and $165,207.00 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 Massachusetts?

The most popular types of Data Science Insurance jobs in Massachusetts are:

What are popular job titles related to Data Science Insurance jobs in Massachusetts?

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

What job categories do people searching Data Science Insurance jobs in Massachusetts look for?

The top searched job categories for Data Science Insurance jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Insurance jobs?

Cities in Massachusetts with the most Data Science Insurance job openings:

Infographic showing various Data Science Insurance job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $116,296 per year, or $55.9 per hour.

Project Manager - Data Science & AI Engineering

MassMutual

Boston, MA • On-site

$124K - $163K/yr

Full-time

Posted 14 days ago


Job description

 The Opportunity 

At MassMutual, we’re more than life insurance – we’re a leading financial services company committed to helping people secure their future and protect what matters most. As a Project Manager in Data Science & AI Engineering, you’ll lead the delivery of AI and data-driven solutions by managing scope, timelines, and stakeholder expectations across multiple, concurrent projects. You’ll partner closely with data scientists, AI engineers, and product managers to ensure projects run smoothly and deliver measurable impact. Your ability to understand technical concepts and anticipate risks, resolve challenges, and maintain alignment will be critical to driving successful outcomes. 

The Team 

Our Data Science & AI Engineering team is driving innovation through machine learning and AI-powered solutions – including generative AI and emerging agentic AI approaches – that transform how we deliver value across the enterprise. 

We work in high-caliber, product-focused teams that thrive on collaboration, curiosity, and diversity of thought. If you’re passionate about driving meaningful change, love working with brilliant minds, and want to see your work make a real impact, this is the place for you. This role is ideal for someone who excels at managing technically complex initiatives and ensuring seamless execution across multiple teams and priorities

The Impact 

  • Manage the delivery of a portfolio of AI and data science projects from planning through implementation. 

  • Coordinate across technical and non-technical teams to manage dependencies and ensure clarity of requirements. 

  • Lead agile ceremonies, including scrums, sprint planning, retrospectives, while driving accountability. 

  • Help stakeholders understand what’s possible with AI and translate that into actionable project requirements. 

  • Manage complexity across budget, timelines, scope, and stakeholder expectations. 

  • Proactively identify risks and mitigation strategies, navigating ambiguity with confidence. 

The Minimum Qualifications 

  • Bachelor’s degree  

  • 8+ years in technical field (this can be a combination of academic, research-based, or professional environment). 

  • 4+ years of experience managing technical projects in Agile environments. 

  • 2+ years of experience managing complex technical projects

The Ideal Qualifications 

  • Education: Master’s degree (preferred) in business, computer science, engineering, or other applicable discipline. 

  • Experience: Proven success delivering projects involving data science or AI or cyber security  

  • Skills

  • Advanced proficiency with project management tools (JIRA, Confluence) and Agile frameworks. 

  • Strong ability to synthesize technical details into clear plans and executive-level communications. 

  • Demonstrated leadership in driving accountability and fostering collaboration. 

  • Mindset

  • Outcome-oriented and highly adaptable. 

  • Skilled at influencing without authority and building trust across diverse teams. 

  • Thrives in fast-paced, evolving environments. 

What to Expect as Part of MassMutual and the Team 

  • Regular collaboration with the Data Science & AI Engineering team 

  • Focused one-on-one time with your manager 

  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups 

  • Access to learning content on Degreed and other informational platforms 

  • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits 

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MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
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