AI-Driven Data Science Intern - Summer 2027

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. 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