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

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 ...

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 ...

New

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Data Science is a driver of significant competitive advantage for Kemper and is critical to the ...

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 ...

New

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 ...

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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In their time of need, they call down outdated insurance directories.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 ...

... data science community The Offer Competitive salary plus annual discretionary bonus You will receive the following benefits: • Medical Insurance • Dental Benefits • Vision Benefits • Paid ...

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/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 ...

New

Senior Data Scientist

Boston, MA · On-site

$107.45 - $199.55/hr

D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ... John Hancock Life Insurance Company (U.S.A.) #J-18808-Ljbffr

Posted today

Showing results 21-40

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 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 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:
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.

Senior Principal Scientist, Data Science RWE

Johnson & Johnson

Cambridge, MA • Hybrid

Full-time

Retirement, PTO

Posted 21 days ago


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

24th of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

  • Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoringteam members.

  • Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.

  • End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

  • Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.

  • Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

  • Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Required qualifications:
  • A Ph.D. degree in epidemiology or biostatistics

  • Expert coding skills using R, Python, or SAS

  • At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries

  • Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases

  • Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure

  • Excellent interpersonal, communication and presentation skills

Preferred qualifications:
  • Familiarity with drug discovery and the clinical development process

  • Subject matter knowledge in oncology, Immunology or Neuroscience

  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR1

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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