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Computer Science Intern Jobs in Ontario (NOW HIRING)

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... Science, or related discipline. * Completion of at least one actuarial exam is preferred and the ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... Science, or related discipline. * Completion of at least one actuarial exam is preferred and the ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

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Computer Science Intern information

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$11

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How much do computer science intern jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for computer science intern in Ontario is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $23.80 per hour, depending on experience, location, and employer.

What is a Computer Science Intern job?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a Computer Science Intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Intern position, and why are they important?

To thrive as a Computer Science Intern, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and basic software development principles, typically backed by ongoing coursework in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes exposure to cloud platforms or coding certifications can be advantageous. Strong analytical thinking, effective communication, initiative, and the ability to work well within a team are valuable soft skills in this role. These skills and qualities ensure that interns can quickly contribute to projects, adapt to new technologies, and collaborate effectively with experienced professionals.

What are the most commonly searched types of Computer Science jobs in Ontario? The most popular types of Computer Science jobs in Ontario are:
What are popular job titles related to Computer Science Intern jobs in Ontario? For Computer Science Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Intern jobs in Ontario look for? The top searched job categories for Computer Science Intern jobs in Ontario are:
What cities in Ontario are hiring for Computer Science Intern jobs? Cities in Ontario with the most Computer Science Intern job openings:
Computer Science Intern jobs near you
Infographic showing various Computer Science Intern job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $40,235 per year, or $19.3 per hour.
AI & Strategic Analytics Intern - Fall 2026

AI & Strategic Analytics Intern - Fall 2026

McKesson

Mississauga, ON • On-site, Remote

CA$17.69 - CA$22.21/hr

Full-time

Posted 3 days ago

New

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 74 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Program Overview

McKesson's Intern program is designed to provide:

  • A real-life working environment

  • A solid foundation of experience

  • A cohort experience with other interns

  • Consistent senior leadership exposure and learning experiences.

We are looking for candidates who have:

  • Willingness to learn, develop, and contribute to a fun, demanding, fast-paced environment.

  • Self-starter that brings both interpersonal skills abilities to identify a problem then solve it.

  • Passion and enthusiasm for healthcare and our customers' success

Work Term: Fall 2026- September 8th through December 31st
Location: Mississauga, ON, CAN - 2300 Meadowvale Blvd (Hybrid)

Job Summary

The AI & Strategic Analytics Intern will support McKesson Specialty Health's Strategic Insights team in exploring innovative applications of artificial intelligence, advanced analytics, and business intelligence. This role offers a unique opportunity to work at the intersection of data, technology, and business strategy, helping identify emerging opportunities to enhance analytics, reporting, decision-making, and operational effectiveness.

The intern will contribute to AI experimentation, analytical research, insight generation, dashboard development, and strategic projects while collaborating with business, product, and technology teams. This role is ideal for a highly curious and innovative student who is passionate about AI, data analytics, and solving complex business problems.

Key Responsibilities

AI Innovation & Experimentation

  • Research emerging AI technologies, industry trends, and innovative analytics practices.

  • Identify opportunities to leverage Generative AI, machine learning, and automation across reporting, analytics, and business processes.

  • Develop proof-of-concept solutions and prototypes to demonstrate AI-enabled use cases.

  • Evaluate AI tools and technologies that can improve efficiency, insight generation, and decision-making.

Data Analytics & Insights

  • Analyze data from multiple sources to identify trends, patterns, and opportunities.

  • Support development of dashboards, scorecards, and visualizations using Power BI and related tools.

  • Assist in generating actionable business insights for leadership and stakeholders.

  • Perform exploratory data analysis and help communicate findings through compelling visualizations and presentations.

Strategic Projects

  • Support AI, analytics, CRM transformation, and reporting initiatives across Specialty Health.

  • Assist with business research, benchmarking, and opportunity assessments.

  • Help build executive presentations, business cases, and strategic recommendations.

Process Improvement & Automation

  • Identify opportunities to streamline manual reporting and analytical processes.

  • Support development of automation solutions using AI, analytics platforms, and low-code tools.

  • Help document best practices, methodologies, and learning materials.

Qualifications

Education

Currently pursuing a Bachelor's or Master's degree in:

  • Computer Science

  • Data Science

  • Artificial Intelligence

  • Machine Learning

  • Statistics

  • Business Analytics

  • Mathematics

  • Engineering

  • or a related field

Preferred Skills

  • Knowledge of Generative AI technologies and large language models (LLMs).

  • Experience with Python.

  • Familiarity with SQL.

  • Exposure to Power BI, Tableau, or similar visualization tools.

  • Experience with Snowflake.

  • Understanding of machine learning concepts and AI model development.

  • Experience with prompt engineering, AI prototyping, or hackathon-style projects is an asset.

  • Strong analytical and problem-solving skills.

  • Excellent communication and storytelling capabilities.

  • Demonstrated curiosity, creativity, and a passion for innovation.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$17.69 - $22.21

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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