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Internship Programming Jobs in Toronto, ON (NOW HIRING)

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

Demonstrated research/software engineering experience: through previous internships, work ... experience, coding competitions, and/or research projects and papers. * Strong quantitative ...

Internships span several areas, with some projects crossing more than one: Hardware & Chip Design ... Applying programming, hardware, AI/ML, data, simulation or other engineering tools. * Solving ...

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Internship Programming information

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$7

$26

$60

How much do internship programming jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for internship programming in Toronto, ON is $26.15, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $33.03 per hour, depending on experience, location, and employer.

What is an internship in programming?

An internship in programming is a temporary position that allows students or recent graduates to gain hands-on experience in software development or coding. Interns typically work under the supervision of experienced programmers, contributing to real projects while learning about industry tools, coding practices, and team collaboration. These internships help individuals build practical skills, expand their professional network, and improve their chances of securing a full-time job in technology. Many internships also offer mentorship and training opportunities to help interns grow.

What types of projects or tasks can I expect to work on during a programming internship?

As a programming intern, you'll often be involved in supporting real software development projects, which may include tasks like debugging code, writing unit tests, developing new features, or assisting with documentation. Depending on the team and company, you might collaborate with experienced developers on agile teams, participate in code reviews, and learn to use industry-standard tools for version control and project management. These hands-on experiences are designed to help you build practical coding skills while contributing to meaningful projects. Interns are also encouraged to ask questions and seek mentorship, making the internship a valuable learning and networking opportunity.

What are the key skills and qualifications needed to thrive as an internship programming?

To thrive as a Programming Intern, you need a solid understanding of programming fundamentals, problem-solving abilities, and relevant coursework in computer science or software engineering. Familiarity with languages like Python, Java, or C++, and experience using version control systems such as Git, are commonly required; knowledge of popular development environments and collaboration tools is also helpful. Strong communication, eagerness to learn, and teamwork skills help interns integrate effectively and contribute to projects. These skills and qualities are vital for adapting to real-world software development environments and delivering meaningful contributions during the internship.

What is the difference between Internship Programming vs Software Developer?

AspectInternship ProgrammingSoftware Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldBachelor's degree or higher in computer science or related field, often with professional experience
Work EnvironmentTemporary, entry-level, often part-time or summer roles in tech companies or organizationsFull-time, permanent roles in various industries, including tech firms, startups, and corporations
Employer & Industry UsageUsed by companies to train and evaluate potential future employees; common in tech and software firms

In summary, Internship Programming is an entry-level, temporary position designed for students or recent graduates to gain experience, while a Software Developer is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone toward a career as a Software Developer.

What does an internship programming do?

An internship in programming involves assisting with software development tasks such as coding, testing, and debugging under the supervision of experienced developers. Interns often gain hands-on experience with programming languages, development tools, and collaborative environments, preparing for a future career in software engineering.

What are the most commonly searched types of Programming jobs in Toronto, ON?

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

Infographic showing various Internship Programming job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $54,402 per year, or $26.2 per hour.

Data Scientist Intern (Winter/January 2027, 4-8 Months)

Oakville, ON • On-site

Full-time, Internship

Posted 11 days ago


Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern to join Geotab's maintenance analytics team, the team that turns raw vehicle telematics into predictive maintenance products used by fleets around the world. This isn't a shadow the team internship: our last intern in this role ended up designing and shipping an actual product feature. Comfortable with ambiguity, eager to own something end to end, and fluent enough with modern AI tooling to spend their time on the hard problems instead of the boilerplate. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you'll work directly with our data scientists on the full lifecycle of a predictive maintenance data product: exploring raw diagnostic and telemetry signals, prototyping features and models, and helping productionize the result into a data pipeline that ships real signals to customers. You'll use AI assisted workflows as a default part of how you work, not as a novelty, but because that's how the team operates day to day. The goal is for you to spend your term building something you can point to, not maintaining a dashboard. Before any of those ships, you'll validate the approach itself, exploring prior art and running quick experiments to confirm a signal or method is worth building on.

The opportunity:
  • 4-8 month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Own a discrete analytics or pipeline project end to end, from problem framing and signal exploration through a working, demoable output, rather than a series of isolated, one off asks
  • Explore raw diagnostic and telemetry signals in Google BigQuery; turn patterns into features, prototypes, and predictive models
  • Contribute production quality Python/SQL to shared data pipelines, following the team's Git and code review practices
  • Use AI coding/agentic tools deliberately to accelerate exploration, scaffolding, and debugging, so more time goes toward the actual problem
  • Test and validate model outputs and pipeline reliability before deployment and metrics monitoring thereafter
  • Present progress at sprint reviews and team technical sessions, and collaborate with data scientists, product, and other technical stakeholders
  • Run exploratory analysis and a quick literature or prior-art scan on existing predictive maintenance approaches before committing to a modeling path
  • Benchmark candidate approaches (features, model families, thresholds) against a baseline and document the tradeoffs
What you'll bring to the role:
  • Currently pursuing a Bachelors degree in an applied, data oriented STEM field: Computer Science, Engineering, Data Science, Applied Math/Statistics, Physics, or similar
  • Solid, working proficiency in Python and SQL
  • Working knowledge of Git and standard version control workflows
  • Real, demonstrated experience building with AI tools: a personal, academic, or hackathon project where you used AI assisted workflows (coding agents, LLM tooling) to actually build something, not just used a chatbot for homework
  • Strong ownership and follow through: someone who works carefully to get things right, rather than moving fast and leaving things unfinished
  • High accuracy and attention to detail
  • Ability to prioritize and stay effective as priorities shift
  • Highly organized, collaborative team player, genuinely eager to learn quickly
  • Exposure to workflow orchestration tools (e.g. Airflow) and Google BigQuery
  • Familiarity with a BI platform (e.g. Superset)
  • Experience with sensor/IoT/telematics data or data cleaning
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.