Data Science Intern - Summer 2027 Intern

Sun Life • Wellesley, MA

1d • Hybrid

About The Position

The Data Science Intern will provide advanced analytics support within the Business Analytics function, applying data and machine learning to improve business outcomes across Sun Life’s Health and Risk Solutions business. The intern will work with functional teams and analytical agile squads supporting AI use cases across business domains, and will report to the Director of Advanced Analytics Transformation. The role offers the opportunity to work alongside experienced data scientists on high-impact projects, assisting with the development and monitoring of predictive models and AI solutions for pricing, underwriting, and clinical review processes. The intern may also apply machine learning to explore ways to streamline and automate these processes.

The internship is hybrid and interns must be located near one of Sun Life’s US offices in Wellesley, Massachusetts; Kansas City, Missouri; Hartford, Connecticut; Portland, Maine; or Milwaukee, Wisconsin. The internship session runs June 2027 through August 2027, and interns must be able to work full-time, 40 hours per week.

Sun Life describes its work environment as dynamic, highly professional, collaborative, and supportive, and encourages career mobility. The company also identifies itself as a socially responsible employer with a globally recognized commitment to the environment and sustainability.

Requirements

• Currently enrolled in an accredited college or university during the internship period, June 2027 through August 2027.
• Undergraduate or graduate student in a statistical, mathematical, or technical field, such as Data Science, Computer Science, Statistics, or Actuarial Science.
• Eligible to legally work in the United States.
• Able to work full-time, 40 hours per week, during the internship session.
• Strong academic foundation in developing and implementing data science techniques.
• Strong knowledge of statistical and data science techniques, including machine learning and data visualization, and experience with databases.
• Proficiency in Python and SQL for data manipulation, modeling, and automation.
• Experience with machine learning frameworks and libraries.
• Commitment to data compliance, model governance, and security protocols.
• Strong problem-solving skills and effective communication, including the ability to explain technical concepts to a non-technical audience.

Nice To Haves

• Experience with generative AI, including prompt engineering, retrieval-augmented generation (RAG) workflows, and integrating large language models into business processes.

Responsibilities

• Support the application of data science techniques to solve business problems, including exploratory data analysis, feature engineering, predictive modeling, and visualization.
• Collaborate with the team to develop, validate, and maintain robust predictive models and AI solutions.
• Use multiple data sources, including structured and unstructured data, and machine learning techniques to improve model performance and interpretability.
• Follow team standards for writing, organizing, and documenting code to keep project work reproducible and understandable.
• Interpret data and model outputs to develop actionable insights and recommendations that inform business decisions.
• Assist with developing and monitoring predictive models and AI solutions for pricing, underwriting, and clinical review processes.
• Apply machine learning techniques to explore opportunities to streamline and automate aspects of business processes.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed