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

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 ...

Insurance or financial services industry experience preferred. If you are looking to continue growing your career as a data scientist in a senior role without direct management responsibilities ...

New

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial ...

... data science experience Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick ...

Lead the full lifecycle of data science and AI initiatives, from concept through deployment and ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

New

Masters degree in data science preferred * Bachelors Degree in computer science, mathematics or ... Health, dental & vision insurance * 401k retirement plan with company match * Remote* In addition ...

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 ...

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 ...

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Showing results 1-20

Data Science Insurance information

See Boston, MA salary details

$24.6K

$116K

$218.9K

How much do data science insurance jobs pay per year?

As of Jun 11, 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 job?

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.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

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:
Senior Scientist, Data Science - Hybrid

Senior Scientist, Data Science - Hybrid

XPO Logistics

Boston, MA

$106K - $132K/yr

Other

Medical, Life, Retirement, PTO

Posted 21 days ago


XPO rating

7.0

Company rating: 7.0 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

187th of 340 rated logistics


Job description

Please note that the following enhanced screening and interview requirements apply to this role:  Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.

What you'll need to succeed as a Senior Scientist, Data Science at XPO

Minimum qualifications:

  • Bachelor's degree or equivalent related work or military experience
  • 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
  • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
  • Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
  • Strong communication skills with a knack for translating complex AI concepts into clear business insights

Preferred qualifications:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
  • A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
  • years of hands-on experience in developing and deploying optimization solutions
  • 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
  • Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
  • Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
  • Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
  • Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
  • Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods

 

About the Senior Scientist, Data Science job

Pay, benefits and more:

  • Competitive compensation package
  • Full health insurance benefits are available on day one
  • Life and disability insurance
  • Earn up to 15 days of PTO over your first year
  • 9 paid company holidays
  • 401(k) option with company match
  • Education assistance
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:

  • Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
  • Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
  • You will be a thought leader for the practice of Data Science and Analytics across the organization
  • Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
  • Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
  • Communicate with technical and business-oriented audiences
  • Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
  • Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
  • Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
  • Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO

Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.


What XPO employees say

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US