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

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA

$106K - $132K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of ... Full health insurance benefits are available on day one * Life and disability insurance * Earn up ...

Kemper

Data Science Manager

Boston, MA · Hybrid

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Chubb

SVP, PRS - Data Science

Boston, MA

North America Insurance is Chubb's largest division comprising commercial and consumer P&C ... The successful candidate is a seasoned leader with expertise data science and model development and ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

North America Insurance is Chubb's largest division comprising commercial and consumer P&C ... The successful candidate is a seasoned leader with expertise data science and model development and ...

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

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 7, 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 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 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, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $116,049 per year, or $55.8 per hour.

Data Science Intern

Plymouth Rock Assurance Corporation

Boston, MA

$25 - $30/hr

Full-time

Re-posted 4 days ago

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

105th of 303 rated insurance

Job description

Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA

This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Essential Functions and Responsibilities:

Data Analysis:

The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.

Modeling:

The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.

Implementation:

The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.

Qualifications:

  • Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
  • Practical experience in Econometrics and Statistics, preferably in a business context.
  • Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
  • High standards for the work products delivered.
  • Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
  • Flexibility and resiliency characteristic of a professional.
  • Knowledge of, and experience with, the technical aspect of insurance is a plus.
  • Proficiency with modeling programming language (SQL, R, SAS, Python).

Why work for us:

  • Friendly and collaborate work culture
  • Free On-site gym access
  • Free Coffee and Snacks
  • Company social events
  • Lunch and Learn Leadership program
  • Business Casual (Can wear jeans and sneakers!)
  • Convenient Location - across from South Station!

Pay Rate:The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent".

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