Data Science Intern, Health & Risk Solutions - Summer 2026

Sun Life • Wellesley, MA

1d • $25 • Hybrid

About The Position

You are as unique as your background, experience, and point of view. Here, you’ll be encouraged, empowered, and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families, and communities around the world. What’s it like to work at Sun Life? You’ll find it dynamic and highly professional; collaborative and supportive. We encourage innovative thinking to leverage technology to create solutions. Sun Life is also a socially responsible employer, supporting the communities in which we live and work, with a globally recognized commitment to the environment and sustainability. This position will be based out of our Wellesley, MA office and students must be able to work on a hybrid basis. The Role: This role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation and offers the opportunity to work alongside experienced Data Scientist on high impact projects.

Requirements

• String academic foundation in developing and implementing data science techniques
• Strong knowledge of statistical and data science techniques, including machine learning, data visualization, and experience with databases
• Proficiency in Python and SQL for data manipulation, modeling, and automation
• Experience with machine learning framework and libraries
• Commitment to data compliance, model governance and security protocols
• Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience
• BS/MS in a statistical, mathematical, or technical field (e.g., Data Science, Computer Science, Statistics, or Actuarial Science)
• Currently enrolled in an accredited college or university during the time of the internship (June 2026 - August 2026)
• Completed Bachelor's degree and currently pursuing Masters or Doctorate in a related field (Data Science, Computer Science, Statistics, Actuarial Science)
• Eligible to legally work in the United States
• Ability to work full-time (40 hours/week) during intern session

Nice To Haves

• Demonstrated academic experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process
• Basic familiarity with MLOps practices, including model deployment, monitoring
• Prior internship experience is a plus
• Interest in Healthcare or Health Insurance

Responsibilities

• Assist in the development and monitoring of predictive models and AI solutions to support our pricing, underwriting and clinical review processes, as assigned.
• Applying machine learning techniques to explore ways to streamline and automate aspects of these processes.
• Support the application of data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and visualization.
• Collaborate with the team to develop, validate, and maintain high-quality, robust predictive models and AI solutions.
• Utilize multiple sources of data, including structured and unstructured data, along with variety of machine learning techniques to improve model performance and interpretability.
• Follow team standards for writing, organizing, and documenting codes to ensure project work is reproducible and easy to be understood.
• Interpret data and model outputs to generate clear actionable insights and recommendations that drive business decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern