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Computer Science Entry Level New Grad Jobs in Toronto, ON

... data science * Explore and experiment with new techniques, tools, models, and data sources ... computer science focus preferred. * Machine learning, data science, AI engineering, or applied ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Writing clean, scalable, and efficient code for new applications and modifying existing software to ... Pursuing a Degree/Diploma in Computer Science, Data Science, Electrical Engineering, or equivalent ...

Writing clean, scalable, and efficient code for new applications and modifying existing software to ... Pursuing a Degree/Diploma in Computer Science, Data Science, Electrical Engineering, or equivalent ...

Writing clean, scalable, and efficient code for new applications and modifying existing software to ... Pursuing a Degree/Diploma in Computer Science, Data Science, Electrical Engineering, or equivalent ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

Research and experiment with new machine learning techniques, including time series analysis, to ... D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a research scientist working on Learnable Planner, you will invent new AI technologies that ... Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... The salary base range is reflective of the minimum and maximum target for new hire salaries for the ...

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Computer Science Entry Level New Grad information

What are the key skills and qualifications needed to thrive as a Computer Science Entry Level New Grad, and why are they important?

To thrive as a Computer Science Entry Level New Grad, you need a foundational understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic database technologies, and relevant certifications (such as AWS Certified Cloud Practitioner) can be advantageous. Strong problem-solving abilities, communication skills, and a willingness to learn help new grads excel in collaborative and fast-evolving technical environments. These skills enable effective contribution to projects, quick adaptation to new technologies, and successful integration into professional development teams.

What is the difference between Computer Science Entry Level New Grad vs Software Developer?

AspectComputer Science Entry Level New GradSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentInternships, entry-level roles, training programsFull-time development teams, corporate or startup settings
Employer & Industry UsageTech companies, startups, government agenciesTech firms, software companies, IT departments
Search & Comparison IntentYesYes

While both roles often require similar educational backgrounds, a Computer Science Entry Level New Grad typically refers to recent graduates starting their careers, often in internships or training programs. A Software Developer usually indicates a full-time position with more responsibilities. The main difference lies in experience level and job maturity, with the New Grad role serving as an entry point into the software development industry.

What are Computer Science Entry Level New Grad jobs?

Computer Science Entry Level New Grad jobs are positions designed for individuals who have recently graduated with a degree in computer science or a related field and have little to no professional experience. These roles typically involve tasks such as software development, testing, troubleshooting, and maintaining code under the supervision of more experienced engineers. Employers often look for strong foundational programming skills, problem-solving abilities, and a willingness to learn. Such positions offer new graduates the opportunity to gain hands-on experience, mentorship, and career growth within the tech industry.

What are some typical projects or tasks assigned to entry-level computer science new grads during their first year?

Entry-level computer science new grads are often assigned to work on well-defined tasks such as fixing bugs, writing unit tests, or developing small features under the guidance of more experienced engineers. These projects help new grads become familiar with the codebase, development methodologies, and company tools. Over time, they may take on more complex assignments or contribute to team-wide initiatives, collaborating closely with peers, mentors, and cross-functional teams such as QA or product management. This structure supports learning and helps new grads build confidence as they grow into their roles.
What job categories do people searching Computer Science Entry Level New Grad jobs in Toronto, ON look for? The top searched job categories for Computer Science Entry Level New Grad jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science Entry Level New Grad jobs? Cities near Toronto, ON with the most Computer Science Entry Level New Grad job openings:
Infographic showing various Computer Science Entry Level New Grad job openings in Toronto, ON as of June 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution.
PepsiCo Canada: Fall 2026 Data Science Co-op

PepsiCo Canada: Fall 2026 Data Science Co-op

PepsiCo

Mississauga, ON • On-site

CA$25 - CA$37.50/hr

Full-time

Posted 6 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 842 frontline employees who took The Breakroom Quiz

126th of 380 rated food and drinks producers


Job description

Overview

PepsiCo Canada: Fall 2026 Data Science 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

Overview:

At PepsiCo Canada, we have great brands, great distribution systems and great quality products, all of which are led by great people!  To ensure we stay on the path of delivering great results, it is important that we continue to develop a deep bench of talented leaders.  Our ability to grow year after year is driven by our ability to attract, develop, and retain world class people who will thrive in the PepsiCo environment. 

Our people are our greatest asset. By supporting their ability to work effectively together and providing them with the tools they need to succeed, we are ensuring that PepsiCo Canada is the kind of company where talented people of all backgrounds want to work. The PepsiCo Canada co-op program will provide candidates with a unique opportunity to build their experience and leadership skills. 

Are you excited about analytics and passionate about problem solving? Then come join our Data Science team at PepsiCo Foods Canada! We are focused on accelerating consumer demand, strengthening customer partnership, and driving end to end productivity through data science and advanced analytics. We work with Shopper Insights, Shopper Marketing, Category Leadership, Supply Chain, and IT resources to unlock opportunities. Being embedded in the business and linked to the top strategic priorities allows us to build best-in-class capabilities, develop deep functional expertise, and offer focused products in an agile responsive manner.

Help us solve new and exciting business problems with data analysis, advanced analytics, and a love of problem solving. Success in this role will require exceptional data analysis skills, an analytical mindset, intellectual curiosity, and strong appreciation for delivering business results. Strong communication and collaboration skills are required.


Responsibilities
  • Translate Business needs into technical requirements
  • Collaborating with business stakeholders and technical teams to deliver a variety of projects
  • Deliver advanced analytics and data science projects from end-to-end
  • Effectively communicating insights to project stakeholders
  • Complete proof of concepts
  • Support the adoption of solutions into the business process

Qualifications
  • Working towards bachelor’s degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent.
  • Familiarity with statistical modeling, machine learning and/or deep learning modeling
  • Knowledge of statistical analysis tools like R or Python
  • Knowledge of Databases and SQL programming skills
  • Ability to translate business and technical requirements into non-technical terms
  • Strong communication and collaboration skills
  • Analytical and conceptual thinking skills
  • Demonstrated ability to thrive in fast paced environment 
  • Ability to work independently with minimal supervision 

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:
  • Working towards bachelor’s degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent.
  • Familiarity with statistical modeling, machine learning and/or deep learning modeling
  • Knowledge of statistical analysis tools like R or Python
  • Knowledge of Databases and SQL programming skills
  • Ability to translate business and technical requirements into non-technical terms
  • Strong communication and collaboration skills
  • Analytical and conceptual thinking skills
  • Demonstrated ability to thrive in fast paced environment 
  • Ability to work independently with minimal supervision 

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

Pay

Benefits

Hours and flexibility

Workplace

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PepsiCo logo

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