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Data Science Insurance Jobs in Massachusetts (NOW HIRING)

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 ...

Humana

Senior Data Scientist

Boston, MA · Hybrid

Execution of data science initiatives, including design, development, and implementation ... Through our Humana insurance services and our CenterWell healthcare services, we make it easier for ...

Humana

Senior Data Scientist

Boston, MA · Hybrid

Execution of data science initiatives, including design, development, and implementation ... Through our Humana insurance services and our CenterWell healthcare services, we make it easier for ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

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

Humana

Senior Data Scientist

Boston, MA · Hybrid

Execution of data science initiatives, including design, development, and implementation ... Through our Humana insurance services and our CenterWell healthcare services, we make it easier for ...

Next Insurance

Data Governance & Delivery Lead

Boston, MA · On-site

$134K - $220K/yr

... insurance and tech, and we still have room to grow - that's where you come in. We're looking for a Data Governance & Delivery Lead to join our Data Organization as we bring Data Science, Analytics ...

Next Insurance

Data Governance & Delivery Lead

Waltham, MA · On-site

$134K - $220K/yr

... in insurance and tech, and we still have room to grow -- that's where you come in. We're looking for a Data Governance & Delivery Lead to join our Data Organization as we bring Data Science ...

Next Insurance

Data Governance & Delivery Lead

Boston, MA · On-site

$134K - $220K/yr

... in insurance and tech, and we still have room to grow -- that's where you come in. We're looking for a Data Governance & Delivery Lead to join our Data Organization as we bring Data Science ...

AbbVie

Data Scientist

Worcester, MA · On-site

$96K/yr

Masters in Data Engineering, Data Science or related * Prior experience in biotech or ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

New

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write ... insurance; generous paid time off including vacation, sick leave, floating and fixed holidays ...

AbbVie

Data Scientist

Worcester, MA · On-site

Masters in Data Engineering, Data Science or related * Prior experience in biotech or ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

New

Roku

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

Roku

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the team Our Data Science team is a high-impact research team actively shaping the future of ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

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Showing results 41-60

All JobsData Science Insurance JobsData Science Insurance Jobs in Massachusetts

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 Aug 9, 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 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.

How is data science used in the insurance industry?

Data science in insurance involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve customer segmentation. Insurance data scientists use statistical models, machine learning algorithms, and tools like Python or R to optimize decision-making and enhance underwriting processes.

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 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:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $116,296 per year, or $55.9 per hour.

Data Scientist

Kemper

Boston, MA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Location(s)

Alpharetta, Georgia, Austin, Texas, Birmingham, Alabama, Boston, Massachusetts, CORP-Randolph-Chicago-IL, Dallas, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates will work hybrid out of a local Kemper location.

Position Responsibilities:

  • Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims quality management.

  • Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs.

  • Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.

  • Monitor deployed solutions and escalate as needed.

Position Qualifications:

  • Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.).

  • Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.

  • Prior experience working with AWS is a plus.

  • Some experience with natural language processing is preferred.

  • Some experience working with LLMs via API is preferred but not required.

  • Ability to work with various data formats. This includes relational databases, delimited text files, data frames, and JSONs.

  • Excellent overall communication skills, especially the ability to translate technical results for non-technical audiences.

  • Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc.

  • 2+ years' experience in a data science/ predictive analytics environment preferred.

  • Self-directed and able to work with little supervision

  • Sponsorship is not accepted for this opportunity

  • The range for this position is $93,500 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

  • This is a hybrid role and can be worked out of a local Kemper corporate location

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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