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Machine Learning Co Op Jobs in Toronto, ON (NOW HIRING)

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Finance Co-op

Mississauga, ON · On-site

JOB SUMMARY The Finance Co-op will support the commercial and finance teams with day-to-day ... Proficiency in Microsoft Excel and an aptitude for learning new financial software or ERP systems.

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will be encouraged to engage in continual learning and development activities with the goal to advance to higher level positions. The Role: The Actuarial Co-op/Intern is ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

The Actuarial Co-op/Intern will be encouraged to engage in continual learning and development activities with the goal to advance to higher level positions. The Role: The Actuarial Co-op/Intern is ...

Financeit

Accounting Co-op Student

Toronto, ON · Hybrid

CA$22/hr

Financeit is looking to add an Accounting Co-op Student to our Finance team! We're looking for a ... Career learning and development programs. Next steps: If what you just read excites you, we'd like ...

Financeit

Accounting Co-op Student

Toronto, ON · On-site

CA$22/hr

Financeit is looking to add an Accounting Co-op Student to our Finance team! We're looking for a ... Career learning and development programs. Next steps: If what you just read excites you, we'd like ...

Survalent

Marketing Co-op (Hybrid)

Mississauga, ON

CA$20/hr

In this full-time co-op role, you will support the Marketing team with digital marketing, content ... Comfort learning and working with new systems (training will be provided) * Excellent knowledge of ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Toronto, ON

Machine Learning Co Op information

See Toronto, ON salary details

$9

$40

$92

How much do machine learning co op jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for machine learning co op in Toronto, ON is $40.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.98 and $61.02 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning Co Op jobs? Cities near Toronto, ON with the most Machine Learning Co Op job openings:
Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $84,327 per year, or $40.5 per hour.
PepsiCo Canada: Fall 2026 IT Analytics Co-op

PepsiCo Canada: Fall 2026 IT Analytics Co-op

PepsiCo

Mississauga, ON

CA$25 - CA$37.50/hr

Full-time

Posted 23 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 887 frontline employees who took The Breakroom Quiz

154th of 432 rated food and drinks producers

Job description

Overview

PepsiCo Canada: Fall 2026 IT Analytics Co-op

Co-op Work Term Duration: September to December 2026 

Start Date: September 8, 2026

Job Location: Mississauga Headquarters

Compensation: $25 to $37.50 per hour

Are you hungry for an exciting and challenging opportunity in a fast-paced, diverse organization?

If so, you have a future at PepsiCo. As a world class organization, we strive for excellence in everything that we do!  To accomplish our goals, we need talented, innovative, creative people who know how to work hard and have fun.

Taste the success with Canada's fastest growing CPG Company and discover how our passion for growth creates big challenges and big opportunities: personally, professionally, and financially.

At PepsiCo, we leverage an amazing range of technologies throughout our business; from mobile apps to advanced analytics, from cloud connected sensors to complex data integrations and everything in between.

Reasons to Consider PepsiCo for your Co-op Placement:

  • Ongoing professional development to expand your business knowledge
  • Opportunities to work with a wide range of functional departments and leaders
  • Make an impactful change with your projects
  • Ability to flex work arrangements
  • To work with, and learn from business partners to gain key decision-making skills
  • Opportunities for various plant tours and visits 

Responsibilities

As an IT Analytics Intern, you will work with various business functions across PepsiCo Canada, and will be responsible for gathering requirements, building tools/analytical capabilities, modernizing business processes, and driving innovation.

Key responsibilities will include:

  • Leverage various data analytic tools such as Power BI, Azure Data Lake, Power Automate, and PowerApps
  • Drive AI/ML proof of concepts for the Canadian business
  • Consult with Business Partners to provide key data insights using various Business Intelligence tools
  • Engage technology and business leaders to leverage tools to solve real world business challenges
  • Liaise with clients to identify and define requirements, scope and objectives
  • Act as the point of contact and communicate project status to all stakeholders
  • Support agile project plan development, monitoring and tracking project schedule, and tracking issues and risks
  • Support the development of user acceptance test cases and test execution activities
  • Oversee creation and maintaining comprehensive project documentation

Qualifications
  • Motivated learner enrolled in a Business, Computer Science, Finance/Mathematics, Engineering, or IT related program
  • Previous work experience as a Business Analyst or similar role preferred
  • Exposure to Machine Learning/Generative AI
  • Exposure to Agile methodologies
  • Solid communication, organizational skills, including multitasking and time-management required
  • Strong skills in developing presentations and reports
  • Strong working knowledge of Microsoft Suite (Outlook, Word, Excel, PowerPoint) required
  • Knowledge of SQL an asset
  • Experience in Analytics from conception to delivery of an asset
  • Working experience with Microsoft Power Apps, Power BI and data wrangling tools (e.g. Databricks, VBA Macros) is an asset.
  • Self-motivated, enthusiastic, and able to build collaborative relationships!

The Company

PepsiCo is making a difference on a global scale, and so can you!  Competing in a dynamic, fast-paced industry, our ability to grow year after year is driven by our ability to attract, develop, and retain world class people who will thrive at PepsiCo. Follow the link below to find out more about our culture and commitment to Performance with Purpose.  We believe that delivering value for our consumers and customers, protecting our environment, sourcing with integrity, and investing in our employees are not simply good things to do, but that these actions fuel our returns and position PepsiCo for long-term, sustainable growth. 

Grow. Belong. Smile.

AI Disclosure: PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants.

Vacancy Status: This posting is for a newly created role.

Qualifications:
  • Motivated learner enrolled in a Business, Computer Science, Finance/Mathematics, Engineering, or IT related program
  • Previous work experience as a Business Analyst or similar role preferred
  • Exposure to Machine Learning/Generative AI
  • Exposure to Agile methodologies
  • Solid communication, organizational skills, including multitasking and time-management required
  • Strong skills in developing presentations and reports
  • Strong working knowledge of Microsoft Suite (Outlook, Word, Excel, PowerPoint) required
  • Knowledge of SQL an asset
  • Experience in Analytics from conception to delivery of an asset
  • Working experience with Microsoft Power Apps, Power BI and data wrangling tools (e.g. Databricks, VBA Macros) is an asset.
  • Self-motivated, enthusiastic, and able to build collaborative relationships!

The Company

PepsiCo is making a difference on a global scale, and so can you!  Competing in a dynamic, fast-paced industry, our ability to grow year after year is driven by our ability to attract, develop, and retain world class people who will thrive at PepsiCo. Follow the link below to find out more about our culture and commitment to Performance with Purpose.  We believe that delivering value for our consumers and customers, protecting our environment, sourcing with integrity, and investing in our employees are not simply good things to do, but that these actions fuel our returns and position PepsiCo for long-term, sustainable growth. 

Grow. Belong. Smile.

AI Disclosure: PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants.

Vacancy Status: This posting is for a newly created role.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What PepsiCo employees say

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Hours and flexibility

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

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