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Sun Life
·
November 4, 2025
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Data Scientist–Health and Risk Solutions

Portland, ME
Full-time
Hybrid
$85K/yr - $127K/yr
Entry, Mid Level
Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. The Data Scientist role focuses on applying advanced analytics and machine learning to improve business outcomes across the Health and Risk Solutions business, working closely with various teams to develop predictive models and AI solutions.
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Responsibilities

  • Apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, visualization
  • Develop, validate, and maintain high-quality, robust predictive models and AI solutions that meet business and technical requirements
  • Utilize multiple sources of data, including structured and unstructured data, along with variety of machine learning techniques to improve model performance and interpretability
  • Write clean, modular, and well-documented code that can be deployed and maintained in production
  • Interpret data and model outputs to generate clear actionable insights and recommendations that drives business decisions.

Qualification

Required

  • Ability to work with a diverse range of people
  • BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)
  • 2+ years of experience in developing and implementing data science techniques
  • Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process
  • Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management
  • Strong knowledge of statistical and data science techniques, including machine learning, data visualization, A/B testing, and experience with databases
  • Proficiency in Python and SQL for data manipulation, modeling, and automation
  • Experience with machine learning framework and libraries
  • Ability to turn proof-of-concept model into production-ready code and reproducible workflows
  • Commitment to data compliance, model governance and security protocols
  • Strong business acumen to understand why and how the work we do will impact our business stakeholders
  • Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience

Preferred

  • Healthcare or health insurance experience preferred, particularly with experience in pricing, underwriting and clinical domains. Will consider candidates that have experience in other insurance product lines.

Benefit

  • Generous vacation and sick time
  • Market-leading paid family, parental and adoption leave
  • Medical coverage
  • Company paid life and AD&D insurance
  • Disability programs
  • Partially paid sabbatical program
  • 401(k) employer match
  • Stock purchase options
  • Employer-funded retirement account
  • Flexible, inclusive and collaborative work environment
Sun Life is a leading financial services organization dedicated to helping people achieve lifetime financial security and live healthier lives.
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Founded in 1865
Toronto, Ontario, CAN
10001+ employees
https://www.sunlife.com.vn/vn/