Data Science Intern - Summer 2027 Intern

Sun Life Assurance Company of Canada; Wellesley (MA); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Sun Life U.S. invites students to join our Health and Risk Solutions analytics team as a Campus Summer 2027 Intern. You will collaborate with experienced data scientists to apply data science techniques and machine learning to real-world pricing, underwriting, and clinical review processes.

The internship is hybrid and requires proximity to a US-based office (Wellesley, MA or other listed locations). You will gain hands-on experience, contribute to impactful projects, and learn in a

Qualifications

• Strong academic foundation in developing and implementing data science techniques.
• Proficiency in Python and SQL for data manipulation, modeling, and automation.
• Experience with machine learning frameworks and data visualization tools.
• Familiarity with generative AI, prompt engineering, RAG workflows, and integrating LLMs into business processes is a plus.

Responsibilities

• Assist in applying data science techniques to solve business problems across analytical areas.
• Collaborate to develop, validate, and maintain predictive models and AI solutions.
• Utilize structured and unstructured data and various ML techniques to improve model performance.
• Follow team standards for writing, organizing, and documenting code for reproducibility.
• Interpret data and model outputs to generate actionable insights for decisions.
• Perform other duties as assigned.

Skills

Python

SQL

Machine Learning

Data Visualization

Databases

ML Frameworks

Generative AI

Prompt Engineering

RAG Workflows

LLMs in Business

Education

Statistics/ Mathematics

Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

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.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

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, mathe