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Data Science Co Op Jobs in Innisfil, ON (NOW HIRING)

Manulife

Winter Co-op 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

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 ...

Manulife

Winter Co-op 2027 - AI (12 Months)

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

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 ...

Manulife

Winter Co-op 2027 - Data Engineering

Toronto, ON · Hybrid

CA$52K - CA$70K/yr

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems ... Currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field

Teledyne

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

Role We are looking for a highly motivated LiDAR Data Analyst Co-op Student to join our team and ... Collaborate with engineers, scientists, and software developers on technical projects.

New

Jj

Marketing Co-Op

Markham, ON · On-site

CA$28/hr

... science, and ingenuity to profoundly change the trajectory of health for humanity. Johnson and ... Report on qualitative, quantitative, and competitive data related to portfolio. * Assist in the ...

Jj

Marketing Co-Op

Toronto, ON

CA$28/hr

... science, and ingenuity to profoundly change the trajectory of health for humanity. Johnson and ... Report on qualitative, quantitative, and competitive data related to portfolio. * Assist in the ...

University of Toronto

Co-op Coordinator

Toronto, ON · On-site

Faculty of Applied Science & Engineering Department: FASE: Engineering Career Centre Campus: St ... Relevant experience analyzing co-op employment and employer engagement data to identify gaps in ...

Arcadis

Biologist Intern/Co-op

Toronto, ON

You will contribute to field surveys, data collection, technical reporting, and environmental ... Collaborating with biologists, ecologists, environmental scientists, planners, engineers, and ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Internship, co-op, research, or project experience in data science, analytics, or relevant field * Experience with cloud-based platforms such as Microsoft Azure * Familiarity with PySpark * Knowledge ...

Magna

Computer Vision Engineering Co-op

Toronto, ON · On-site

CA$24.50 - CA$28.50/hr

Perform and present data analysis results based on requests from supervisors. * Create data and ... Science, or an equivalent engineering, mathematics, or science discipline. * Strong Python ...

Jj

Global Oncology Market Access Co-Op

Toronto, ON · On-site +1

CA$22 - CA$32/hr

... fuel our science-based advancements. Visionaries like you work on teams that save lives by ... Conduct literature searches and synthesize clinical / real-world data Sound like your kind of ...

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All JobsData Science Co Op JobsData Science Co Op Jobs in Innisfil, ON

Data Science Co Op information

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What cities near Innisfil, ON are hiring for Data Science Co Op jobs?

Cities near Innisfil, ON with the most Data Science Co Op job openings:

Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Innisfil, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Winter Co-op 2027 - AI

Manulife

Toronto, ON • Hybrid

CA$54K - CA$72K/yr

Full-time

Posted 4 days ago

Key responsibilities

  • Explore, prepare, and validate data for analysis and modeling.

  • Build, evaluate, and support machine learning models and feature engineering.

  • Prototype generative AI solutions and develop reproducible code and workflows.

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

#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 hr@manulife.com.

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