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Entry Level Data Science Insurance Jobs in Massachusetts

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

Take theoretical ideas from linguistics and data science and implement them as practical software ... insurances - for you and your family! * Retirement Plans: Babel Street offers both a Traditional ...

Technical Recruiter

Cambridge, MA · On-site

$70K - $120K/yr

These domains include software engineering, data science, machine learning/AI, human factors, and ... Demonstrated capability to source top technical talent spanning the range from entry-level to ...

Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Clinical Data Associate

Boston, MA · On-site

$50K - $62K/yr

FANTASTIC IMMEDIATE OPPORTUNITY for ENTRY LEVEL & EXPERIENCED candidates Preference given to ... Medical or biological sciences background is helpful but not required. * 1+ yr of experience;

Qualifications: • Bachelor's degree in data analytics, data science, business systems. Or ... insurance programs, and paid and unpaid time away from work. In addition to a comprehensive ...

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ... Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with ...

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ... Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with ...

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams ... entry level * A strong training system with our internal Academy and more than 250 modules ...

Showing results 41-60

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.

NLP/Linguistics Software Engineer

Babel Street

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago


Job description

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com.
ROLE SUMMARY
Babel Street is looking for a Software Engineer to join our Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for our analytics platform, focusing specifically on our record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.
WHY THIS ROLE MATTERS
The record matching functionality is where Babel Street's signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable - a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.
WHAT YOU'LL DO (KEY RESPONSIBILITIES)
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.

WHAT YOU BRING (QUALIFICATIONS)
Required:
  • 2-4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have)
  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.

WHAT SUCCESS LOOKS LIKE (FIRST SIX MONTHS)
  • Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.

Benefits at Babel Street (just to name a few...)
  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
  • Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
  • Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
  • Holidays: Babel Street provides employees with 12 paid Federal Holidays
  • Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.
Range for this position based on qualifications and experience
$100,000-$120,000 USD