Data Science Intern - Summer 2027 Intern

Sun Life•Wellesley, MA

12h•Hybrid

About The Position

Sun Life U.S. is hiring a Data Science Intern for its Summer 2027 internship program. The role 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 work closely with functional teams and analytic agile squads supporting AI use cases in business domains, and alongside experienced data scientists on high-impact projects. The position reports to the Director of Advanced Analytics Transformation. The intern will assist in developing and monitoring predictive models and AI solutions for pricing, underwriting, and clinical review processes. The role may also involve applying machine learning to identify opportunities to streamline and automate parts of these processes. This is a hybrid internship, and interns must be located near a U.S. office in Wellesley, Massachusetts; Kansas City, Missouri; Hartford, Connecticut; Portland, Maine; or Milwaukee, Wisconsin. The internship runs from June 2027 through August 2027. Candidates must be enrolled in an accredited college or university during the internship, be an undergraduate or graduate student in a statistical, mathematical, or technical field, be legally eligible to work in the United States, and be able to work 40 hours per week during the internship session.

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, RAG workflows, and integrating LLMs into business processes.

Responsibilities

Apply data science techniques to 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 structured and unstructured data and machine learning techniques to improve model performance and interpretability.
Write, organize, and document code according to team standards so project work is reproducible and understandable.
Interpret data and model outputs to produce actionable insights and recommendations for 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 business processes using machine learning.
Perform other duties as assigned.

Benefits

Generous vacation and sick time.
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 supporting career growth.