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Entry Level Data Science Insurance Jobs in Massachusetts

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... 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 ...

AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits. Minimum Qualifications: * Master's degree in data science, computer science, marine biology, or related ...

Data Science Reports To: Emily Strong - Senior Manager, Data Science Location: Watertown, MA ... Benefits Health: medical, dental, vision, and life insurance, an employer-funded HSA, and short ...

Data Scientist - Hybrid

Boston, MA · On-site

$90 - $167/hr

S. Insurance business. You'll collaborate with business leaders, technology teams, and a global network of over 160 data scientists across John Hancock and Manulife, giving you exposure to world ...

New

S. Insurance business. You'll collaborate with business leaders, technology teams, and a global network of over 160 data scientists across John Hancock and Manulife, giving you exposure to world ...

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.

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Entry Level Data Science Insurance information

What is the difference between Entry Level Data Science Insurance vs Entry Level Actuarial Analyst?

AspectEntry Level Data Science InsuranceEntry Level Actuarial Analyst
Required CredentialsBasic programming, statistics, and data analysis skills; often a bachelor's degree in data science, statistics, or related fieldsActuarial exams, strong mathematics, statistics, and finance knowledge; typically a bachelor's degree in mathematics, statistics, or actuarial science
Work EnvironmentData analysis, modeling, and predictive analytics within insurance companies or consulting firmsCalculations, risk assessment, and financial modeling primarily in insurance companies or consulting firms
Industry UsageGrowing use of data science techniques in insurance for customer insights and risk modelingTraditional actuarial work focused on risk assessment, pricing, and reserving

While both roles involve working in the insurance industry, Entry Level Data Science Insurance focuses on data analysis and predictive modeling using programming skills, whereas Entry Level Actuarial Analyst emphasizes mathematical modeling and risk assessment through actuarial exams and finance knowledge.

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 Entry Level Data Science Insurance jobs in Massachusetts?

For Entry Level Data Science Insurance jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science Insurance jobs in Massachusetts look for?

The top searched job categories for Entry Level Data Science Insurance jobs in Massachusetts are:

Infographic showing various Entry Level Data Science Insurance job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Re-posted 28 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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