Data Science Intern - Summer 2027 Intern

Sun Life • Wellesley, MA

9h • Hybrid

About The Position

Sun Life is hiring a Data Science Intern for its Summer 2027 internship program. The position provides advanced analytics support within the Business Analytics function, applying data and machine learning to improve business outcomes across the Health and Risk Solutions business. The intern will collaborate with functional teams and analytic agile squads supporting AI use cases across business domains, and will work alongside experienced data scientists on high-impact projects. The role reports to the Director of Advanced Analytics Transformation.

The intern will assist with the development and monitoring of predictive models and AI solutions for pricing, underwriting, and clinical review processes. The work may also involve using machine learning to explore ways to streamline and automate aspects of those processes. This is a hybrid internship, and interns must be located near a US office in Wellesley, Massachusetts; Kansas City, Missouri; Hartford, Connecticut; Portland, Maine; or Milwaukee, Wisconsin. The internship runs June through August 2027, and interns must be able to work full-time, 40 hours per week.

Requirements

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

Nice To Haves

• Experience with generative AI, including prompt engineering, RAG workflows, and integrating LLMs into business processes.

Responsibilities

• Apply data science techniques to solve business problems across 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.
• Use multiple data sources, including structured and unstructured data, and a variety of machine learning techniques to improve model performance and interpretability.
• Follow team standards for writing, organizing, and documenting code to ensure project work is reproducible and easy to understand.
• Interpret data and model outputs to generate clear, actionable insights and recommendations that drive business decisions.
• Assist in developing and monitoring predictive models and AI solutions for pricing, underwriting, and clinical review processes.
• Explore ways to streamline and automate aspects of pricing, underwriting, and clinical review processes using machine learning.
• Perform other duties as assigned.

What This Job Offers

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