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Posted 19 days ago

Summer Intern 2027 - AI

@ Manulife and John Hancock

Toronto, Ontario

Full-time
Apply now
SIGNALS

Overview

Manulife and John Hancock are hiring a summer AI intern for a hybrid role in Toronto, running April 29 to August 19, 2027. The intern applies data science and machine learning to business problems, from data preparation and model building to generative AI prototypes. The role is in the office Tuesday to Thursday with remote work available Mondays and Fridays, and the salary range is $54,600 to $72,150 CAD, pro-rated to the work term.

Responsibilities:

  • Explore, prepare and validate data
  • Build and evaluate machine learning models
  • Support feature engineering and model optimization
  • Prototype generative AI solutions
  • Develop reproducible code in Python and SQL

Requirements summary:

  • Currently pursuing an undergraduate degree in a related field
  • Experience with at least one programming language
  • Familiarity with machine learning tools such as scikit-learn or PyTorch
  • Experience with SQL or other data querying languages
  • Understanding of Git and collaborative coding

Tools & skills

Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-10-18
First seen by our source
2026-10-19
Source record updated
2026-11-03

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentData & analytics
Hours per week40 (estimated)
SeasonalYes
Travelair: none · ground: none
Work settingOffice, Home
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required)
Fields of studyData Science, Computer Science, Statistics, Mathematics, Engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

Manulife and John Hancock

FieldValue
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Job description

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

As an AI Intern, 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 asummer internship, running from April 29th – August 19th, 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 internship 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

#LI-Hybrid

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 [email protected].

Working Arrangement

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