About the role#
As an AI Intern, you will gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You will work with modern tools and datasets to explore and prepare data, develop predictive models, and generate insights that drive decision-making. You will receive guidance from experienced practitioners while gaining exposure to the end-to-end lifecycle of data science, machine learning, and emerging AI solutions in an enterprise environment.
What you'll do#
- Explore, prepare, and validate data while ensuring data quality and consistency for analysis and modeling.
- Build and evaluate machine learning models using a range of techniques, with thoughtful 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 and effectiveness.
- Develop reproducible code and workflows for data processing and modeling using tools like Python and SQL.
- Communicate insights through clear visualizations, reports, and presentations for both technical and non-technical audiences.
What you'll need#
- Current pursuit of an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Experience with at least one programming language such as Python, R, or Java.
- Familiarity with data manipulation techniques and machine learning concepts.
- Experience working with SQL or other data querying languages.
- Understanding of version control systems like Git and collaborative coding practices.
- Interest in machine learning, data science, and emerging AI technologies.
- Exposure to machine learning techniques including regression, tree-based models, neural networks, or time series methods.
- Familiarity with generative AI concepts like prompt engineering and retrieval-augmented generation.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud, or data tools like Databricks and Spark.
- Exposure to data visualization tools like Power BI or Tableau.
- Strong problem-solving and communication skills.
Location & details#
- Location: Toronto, Ontario, Canada.
- Term: Summer 2027 (April 29 to August 19, 2027).
- Work Modality: Hybrid (in-office Tuesday through Thursday, remote Mondays and Fridays).
- Employment Type: Full-time.
- Compensation: This is a paid internship.
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.
