Data Science Intern — Hybrid AI & Predictive Modeling

Sun Life; Hammond (LA); Hybrid; USD 28,000 - 41,000; Full time

Benefits offered by this job

Hybrid internship

Job summary

Sun Life U.S. is inviting you to join our US Campus Summer 2027 Internship in Advanced Analytics. This hybrid program requires you to be near a US-based Sun Life office (Wellesley, MA; Kansas City, MO; Hartford, CT; Portland, ME; Milwaukee, WI).

You will work with experienced Data Scientists on predictive models, ML models, and AI solutions to support pricing, underwriting and clinical review processes. Develop governance and security practices while learning to translate data into actionable

Qualifications

• Currently enrolled in an accredited college or university during the internship (June 2027 – August 2027).
• 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.

Responsibilities

• Assist in applying data science techniques to solve business problems (EDA, feature engineering, predictive modeling, visualization).
• Collaborate to develop, validate, and maintain high-quality predictive models and AI solutions.
• Utilize diverse data sources and ML techniques to improve model performance and interpretability.
• Follow team standards for writing and documenting code for reproducibility.
• Interpret data and model outputs to generate actionable insights for business decisions.
• Other duties as assigned.

Skills

Data science basics

Statistics & ML

Python

SQL

ML frameworks

Data governance

Communication

Generative AI

Education

Data Science/CS background

Job description

Sun Life U.S. is inviting you to join our US Campus Summer 2027 Internship in Advanced Analytics. This hybrid program requires you to be near a US-based Sun Life office (Wellesley, MA; Kansas City, MO; Hartford, CT; Portland, ME; Milwaukee, WI).

You will work with experienced Data Scientists on predictive models, ML models, and AI solutions to support pricing, underwriting and clinical review processes. Develop governance and security practices while learning to translate data into actionable