Data Science Intern

At Sun Life, we’re driven by our Purpose: helping our  Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.

Job Description: US Campus Summer 2027 Intern Job Description 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 career mobility. 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 internship will be hybrid, and interns must be located near one of our US based offices – Wellesley, MA; Kansas City, MO; Hartford, CT; Portland, ME; Milwaukee, WI.

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.

Responsibilities include assisting in the development and monitoring of predictive models and AI solutions to support our pricing, underwriting and clinical review processes, as assigned.

Additional responsibilities may include applying machine learning techniques to explore ways to streamline and automate aspects of these processes. Responsibilities will include, but are not limited to: • 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.

• Other duties as assigned Core skill sets needed for this role: • Strong 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 • Experience with generative AI, including prompt engineering, RAG workflows and integrating LLMs into business processes, is a plus The Candidate To be eligible for an internship at Sun Life, you must meet the following requirements: • Currently enrolled in an accredited college or university during the time of internship (June 2027 – August 2027) • Must be an undergraduate or graduate student in statistical, mathematical, or technical field (e.

g., Data Science, Computer Science, Statistics, or Actuarial Science) • Eligible to legally work in the United States • Ability to work full-time (40 hours/week) during Intern session We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive.

We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate.

We encourage applications from qualified individuals from all backgrounds. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business.

Please email thebrightside@sunlife.com  to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.