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Manulife

Winter Co-op 2027 - AI

Toronto, ON, Canada

Please note the salary range is expected to be between $54,600 CAD to $72,150 CAD. · Full-time

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Job details

Pay: Please note the salary range is expected to be between $54,600 CAD to $72,150 CAD.
Job type: Full-time
Apply by: Nov 10, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

At Manulife John Hancock, we believe in investing in the future – starting with you. Our AI Co-op Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark. Our co-op program offers more than just experience; you'll join a vibrant community, participate in engaging events, and benefit from personalized mentorship.

As an AI Co-op, you’ll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You’ll work with modern tools and datasets to explore and prepare data, develop predictive models, and generate insights that drive decision-making. Join a supportive team and experience a values-first culture where your career development and well-being are prioritized alongside your job impact. You’ll 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.

We are currently looking for highly motivated students to join us in our Toronto, Ontario, Canada office for a 4-month co-op, running from January 5th – April 22nd, 2027. This is a hybrid position, where you are expected to be in the office Tuesday–Thursday, with the opportunity to work remotely on Mondays and Fridays.

Position Responsibilities:

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 (e.g., prompting, retrieval-based methods) with a focus on safety and effectiveness

Develop reproducible code and workflows for data processing and modeling using tools such as Python and SQL

Communicate insights through clear visualizations, reports, and presentations for both technical and non-technical audiences

Required Qualifications:

Currently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Experience with at least one programming language (e.g., Python, R, Java) and familiarity with data manipulation techniques

Familiarity with machine learning concepts and tools (e.g., scikit-learn, PyTorch, or similar frameworks)

Experience working with SQL or other data querying languages

Understanding of version control systems (e.g., Git) and collaborative coding practices

Interest in machine learning, data science, and emerging AI technologies

Preferred Qualifications:

Exposure to machine learning techniques such as regression, tree-based models, neural networks, or time series methods

Familiarity with generative AI concepts (e.g., prompt engineering, retrieval-augmented generation)

Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) or data tools (e.g., Databricks, Spark)

Exposure to data visualization tools (e.g., Power BI, Tableau) and ability to present insights clearly

Strong problem-solving and communication skills, with the ability to apply technical solutions to business challenges

When you join our team:

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

As part of our co-op program, you will gain early access to Manulife John Hancock’s premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.

Application instructions:

Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.

Please note the salary range is expected to be between $54,600 CAD to $72,150 CAD.

The actual salary will vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. The annual salary will be pro-rated based on the length of the work-term

This posting supports an ongoing hiring initiative for existing and/or future vacancies.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Working Arrangement

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More about this job

Responsibilities

The AI Co-op will explore, prepare, and validate data to build and evaluate machine learning models for real-world business problems. They will also prototype generative AI solutions and communicate insights through visualizations and reports.

Requirements

Candidates must be currently pursuing an undergraduate degree in a quantitative field such as Data Science, Computer Science, or Statistics. Proficiency in at least one programming language like Python or R and familiarity with machine learning concepts are required.

Skills

Python
SQL
Machine learning
Data science
Predictive modeling
Generative AI
Data visualization
Feature engineering
Git
Statistics
Mathematics
Prompt engineering
Retrieval-augmented generation
PyTorch
Scikit-learn

Benefits

Mentorship
Professional development
Networking events
Flexible work environment

Visa sponsorship

Not detected in the job text

Keywords

Artificial intelligence
Data science
Machine learning
Python
SQL
Generative AI
Predictive modeling
Data visualization
Feature engineering
Git
Statistics
Mathematics
Prompt engineering
Retrieval-augmented generation
PyTorch
Scikit-learn
AWS
Azure
Google Cloud
Databricks
Spark
Power BI
Tableau
Version control
Enterprise environment

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