About the role#
This 12-month co-op position offers students hands-on experience applying machine learning and data science techniques to real-world business challenges. You will join a team focused on developing predictive models and emerging AI solutions within an enterprise environment. The program includes mentorship and access to the GRO early talent program.
What you'll do#
- Explore, prepare, and validate data to ensure quality and consistency for modeling.
- Build and evaluate machine learning models using rigorous experiment design and documentation.
- Support feature engineering, model development, and performance optimization.
- Prototype generative AI solutions, such as prompting and retrieval-based methods, with a focus on safety.
- Develop reproducible code and workflows using Python and SQL.
- Communicate findings through reports, visualizations, and presentations for various audiences.
What you'll need#
- Currently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Proficiency in at least one programming language like Python, R, or Java.
- Experience with SQL or other data querying languages.
- Familiarity with machine learning concepts and frameworks such as scikit-learn or PyTorch.
- Understanding of version control systems like Git and collaborative coding practices.
- Interest in emerging AI technologies and applying technical solutions to business problems.
Location & details#
- Location: Toronto, Ontario, Canada.
- Term: Winter 2027 (January 5, 2027, to December 16, 2027).
- Modality: Hybrid. Employees are expected in the office Tuesday through Thursday, with remote work options on Mondays and Fridays.
- Compensation: This is a paid position with an expected annual salary range of $54,600 CAD to $72,150 CAD, pro-rated based on the length of the work term.
About Manulife
Manulife is an international financial services group based in Toronto. The company operates as Manulife in Canada, Asia, and Europe and as John Hancock in the United States. It manages over 1.3 trillion dollars in assets for approximately 34 million customers. The organization employs more than 34,000 people and works with over 116,000 agents.
How to get in at Manulife
Securing an internship at Manulife requires speed, as early applicants are often reviewed before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you apply among the first. This approach ensures your application is seen early in the process. You can also improve your chances by connecting with the people hiring for these roles. Intern Insider surfaces the recruiters behind Manulife positions so you can reach out directly to ask about the role or a referral. This direct outreach often yields better response rates than submitting an application into a general queue.
