AI Intern: Hands-on ML & Data Science (Hybrid)

Manulife Financial; Toronto; Hybrid; CAD 55,000 - 72,000; Full time

Benefits offered by this job

Hybrid work arrangement

Mentorship program

GRO early talent program

Job summary

Manulife John Hancock invites motivated students to join a summer AI Internship Program in Toronto. You will apply data science and ML techniques to real business challenges, using Python, SQL, and modern tools.

The role emphasizes mentorship, collaboration, and exposure to end-to-end AI lifecycle within an enterprise setting. The internship runs April 29th – August 19th, 2027 in a hybrid office model (Tue–Thu in office; Mon & Fri remote).

Qualifications

• Currently pursuing an undergraduate degree in a related field such as Data Science, CS, Statistics or Engineering.
• Experience with Python or R and data manipulation basics, plus ML concepts.
• Familiarity with SQL and version control (Git) and collaborative coding practices.

Responsibilities

• Explore, prepare, and validate data for analysis and modeling.
• Build and evaluate machine learning models with thoughtful experiment design.
• Support feature engineering, model development, and performance optimization.
• Prototype generative AI solutions with a focus on safety and effectiveness.
• Develop reproducible code and workflows using Python and SQL.
• Communicate insights through clear visualizations, reports, and presentations.

Skills

Python

SQL

Git

Data analysis

Machine learning basics

Education

Undergraduate degree in Data Science / CS / Stats

Tools

scikit-learn

PyTorch

Databricks

Spark

Power BI

Job description

Manulife John Hancock invites motivated students to join a summer AI Internship Program in Toronto. You will apply data science and ML techniques to real business challenges, using Python, SQL, and modern tools.

The role emphasizes mentorship, collaboration, and exposure to end-to-end AI lifecycle within an enterprise setting. The internship runs April 29th – August 19th, 2027 in a hybrid office model (Tue–Thu in office; Mon & Fri remote).