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

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ... Familiarity with healthcare systems, insurance claims, or clinical data is a plus but not required.

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 ...

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 ...

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

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 ...

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 ...

... 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 ...

Showing results 41-60

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 8, 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.

Principal Data Scientist

Lutron Electronics Co., Inc

Boston, MA • On-site

$175K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 8 days ago


Lutron Electronics rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers


Job description

Overview
At Lutron, we are transforming how people experience light through intelligent, connected lighting devices and systems. We are looking for extraordinary and world-class people that are outstanding in both strategic and practical areas. As a Principal Data Scientist, you will deliver impact through data science, ML, and AI by working with the functional teams to develop and execute the technical vision for data science and AI across the company, and you will help to build the organization. You will lead the most complex and high-impact initiatives, influence company-wide strategy, and establish standards and foundational capabilities that enable Lutron's next generation of intelligent products and services.
Responsibilities
  • Execute multi-year, company-wide data science and AI initiatives with significant business and product impact. Move the company forward and show progress.
  • Apply your problem-solving skills to address highly complex, ambiguous problems that span multiple domains and organizations
  • Architect and deploy scalable machine learning and AI systems that serve as foundational platforms for multiple teams
  • Partner with senior engineering, product, and business leaders to shape and execute Lutron's Data & AI strategy
  • Identify, evaluate, and incubate emerging technologies such as generative AI, reinforcement learning, and edge AI
  • Establish best practices and standards for MLOps, responsible AI, model governance, and technical excellence
  • Mentor and develop senior and staff-level data scientists and technical leaders
  • Represent Lutron as a technical authority in data science and AI, both internally and externally
  • Drive creation of reusable frameworks, platforms, and intellectual property

Qualifications
  • PhD degree in a STEM field, or MS degree and equivalent, recognized expertise in Data Science, Computer Science, Statistics, or a related field.
  • Minimum, cumulative GPA of 3.00 for all degrees earned
  • 12+ years of experience in data science, machine learning, and AI with sustained, enterprise-level impact
  • Proven leadership track record leading teams and projects, coordinating across functions, and driving execution from concept through delivery.
  • Deep expertise in advanced machine learning, AI systems, and large-scale production deployments
  • Proven ability to influence strategy and technical direction across multiple organizations
  • Exceptional communication skills, including executive-level technical storytelling
  • Proficiency in Python, R, or Scala, and deep experience with modern ML frameworks and cloud platforms
  • Expert in large-scale cloud deployment of ML/AI models
  • Expert in MLOps

Desired Qualifications
  • Recognized thought leadership in applied data science or AI
  • Background in IoT, embedded systems, or intelligent devices
  • Experience contributing to patents, publications, or industry standards

Starting pay: $175,000 - $190,000 per year; Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation (amount based on tenure with the company), flexible spending accounts, and tuition reimbursement programs.
Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.
Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics
Veronica #LI-VV1

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