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

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 ...

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 ...

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

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 ...

... 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 ...

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 ...

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

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 ...

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 ...

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Data Science Co Op information

See Toronto, ON salary details

$21K

$84.9K

$183.7K

How much do data science co op jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science co op in Toronto, ON is $84,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,650.00 and $126,450.00 per year, depending on experience, location, and employer.

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 are the most commonly searched types of Data Science jobs in Toronto, ON?

The most popular types of Data Science jobs in Toronto, ON are:

What are popular job titles related to Data Science Co Op jobs in Toronto, ON?

For Data Science Co Op jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op jobs in Toronto, ON look for?

The top searched job categories for Data Science Co Op jobs in Toronto, ON are:

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

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

Infographic showing various Data Science Co Op job openings in Toronto, ON as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% In-person job distribution, with an average salary of $84,866 per year, or $40.8 per hour.

PepsiCo Canada: Data Science Winter 2027 Co-op

PepsiCo

Mississauga, ON • On-site

CA$25 - CA$37.50/hr

Full-time

Posted 5 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 904 frontline employees who took The Breakroom Quiz

155th of 444 rated food and drinks producers


Job description

Overview

Position: Data Science Co-op 

Location: Mississauga, ON  

Duration: 4 months 

Compensation: $25.00-37.50

At PepsiCo, you'll find the opportunity to grow your career, make an impact, and help shape what's next. As one of the world's leading food and beverage companies, our beloved brands-including Gatorade, Lay's, and Quaker-help create smiles with every sip and bite. Behind our products is a connected system that starts with how we source and grow ingredients alongside farmers and extends to how we make, move, and deliver products while driving positive impact for our business and communities. 

Our Data Science Intern role support PepsiCo Canada's business functions by leveraging data analysis and modeling techniques to deliver business objectives. This individual will compile, transform and analyze large diverse datasets to develop fact-based recommendations that contribute to achieving strategic goals. Success in this role requires a results-driven approach, intellectual curiosity, analytical thinking, technical proficiency, and the ability to collaborate effectively with others.

Responsibilities
  • Collaborate Cross-Functionally: Work closely with teams across functions (e.g., Sales, Marketing, Supply Chain, Finance) to understand business needs and translate them into analytical solutions. 
  • Efficient Data Wrangling: Support the extraction, transformation, and loading of large datasets from various sources, ensuring data is clean, accurate, and ready for analysis. 
  • Integrate Solutions into Business Processes: Help deploy analytics and machine learning solutions into operational workflows, ensuring outputs are actionable and sustainable for the business. 
  • Communicate Technical Insights to Non-Technical Stakeholders: Present complex data science concepts, models, and findings in a clear, concise manner that drives business decision-making and understanding. 
  • Project Management with Agile Principles: Partner with business stakeholders to define project goals, gather regular feedback through iterative development cycles, and adjust priorities as needed to maximize impact. 
  • Visualize Insights: Create intuitive dashboards, reports, and data visualizations to highlight key findings and trends, making insights accessible to broader audiences. 
  • Build and Deploy Machine Learning Models: Develop predictive and prescriptive models aimed at solving real-world business problems, such as improving performance, forecasting demand, or reducing inefficiencies. 
Qualifications
  • Currently pursuing a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field; a minor in Business or Commerce is preferred. 
  • Strong understanding of mathematical models that support data science methodologies, with familiarity in relevant programming languages. 
  • Ability to communicate complex technical concepts clearly and concisely to technical and non-technical audiences. 
  • Strong analytical, problem-solving, and conceptual thinking skills. 
  • Proven ability to succeed in fast-paced, dynamic, and complex environments. 
  • Capable of working independently with minimal supervision while managing multiple priorities. 
  • Skilled in building effective working relationships and communicating with business stakeholders. 
  • Proficient in SQL and Python for data analysis, ML modeling, and solution development. 
  • Exposure to GenAI concepts and tools is an asset. 
  • Self-motivated, enthusiastic, and able to build collaborative relationships! 

At the heart of PepsiCo are our people: professionals who bring curiosity, drive, and fresh thinking, working together to turn ideas into action. Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities, and create meaningful impact for our consumers, customers, and communities. 

No matter your role, you'll be part of a connected community where your contributions matter, your voice is heard, and your development is supported. With opportunities to grow, belong, and smile, PepsiCo offers more than a place to build your career-it offers the chance to help create what's next. 

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

This posting is for an existing vacancy 

Employment Type: FULL_TIME

What PepsiCo employees say

Pay

Benefits

Hours and flexibility

Workplace

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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