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Computer Science Student Internship Jobs in Toronto, ON

Waabi

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... students will also be considered. - Demonstrated research experience through previous internships ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... Exceptional Bachelor's students will also be considered. - Experience in planning/decision making ...

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All JobsComputer Science Student JobsComputer Science Student Internship JobsComputer Science Student Internship Jobs in Toronto, ON

Computer Science Student Internship information

See Toronto, ON salary details

$8

$23

$49

How much do computer science student internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computer science student internship in Toronto, ON is $23.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $25.92 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Student Internship vs Software Developer Intern?

AspectComputer Science Student InternshipSoftware Developer Intern
Required CredentialsEnrolled in computer science or related degreeEnrolled in or recent graduate of computer science or related degree
Work EnvironmentEducational setting, tech companies, startupsTech companies, software firms, startups
Employer & Industry UsageUniversities, tech companies, internships programsTech companies, software development firms
Search & Comparison IntentUnderstanding internship opportunities for studentsLooking for software development internship roles

Both roles involve gaining practical experience in software development, but a Computer Science Student Internship is typically targeted at students still pursuing their degree, often with a broader focus on learning various computer science concepts. A Software Developer Intern usually implies a more specialized role focused on coding and software projects, often requiring some prior knowledge or coursework in programming.

What are the key skills and qualifications needed to thrive as a computer science student intern?

To excel as a Computer Science Student Intern, you need a solid grasp of programming fundamentals, algorithms, and data structures, typically gained through university coursework or related projects. Familiarity with coding languages like Python, Java, or C++, and experience with version control systems such as Git, are commonly required, while knowledge of development environments or cloud platforms can be advantageous. Strong problem-solving abilities, willingness to learn, and effective teamwork and communication skills help interns stand out in dynamic tech environments. These competencies are crucial for contributing meaningfully to projects, adapting to new technologies, and collaborating effectively within professional software development teams.

What is a computer science student internship?

A Computer Science Student Internship is a temporary position that allows students studying computer science to gain practical experience in the field. Interns typically work for a company or organization while applying the concepts and skills they've learned in the classroom to real-world projects. These internships can focus on areas such as software development, data analysis, cybersecurity, or IT support. The experience helps students build their resumes, develop professional networks, and often leads to future job opportunities in the tech industry.

What are good internships for computer science student interns?

Good internships for computer science student interns include roles at technology companies, research labs, or startups that offer hands-on experience with programming, software development, or data analysis. These internships often require familiarity with programming languages like Python or Java and may provide opportunities to work on real projects, develop technical skills, and gain industry exposure.

What are some common challenges computer science interns face during their internships, and how can they overcome them?

Computer science interns often encounter challenges such as adapting to new codebases, managing time between multiple projects, and communicating technical ideas to team members. To overcome these, interns should actively seek guidance from mentors, take the initiative to document and understand the code, and practice clear communication, especially when working with non-technical colleagues. Engaging in regular check-ins and asking for feedback also helps interns integrate smoothly and accelerate their learning curve.

Which internship is best for a computer science student?

The best internship for a computer science student typically involves roles in software development, data analysis, or cybersecurity, offering hands-on experience with programming languages like Python, Java, or C++. Look for internships that provide mentorship, real-world projects, and opportunities to learn tools such as Git, Linux, or cloud platforms. These experiences help build skills and improve employability after graduation.
What are popular job titles related to Computer Science Student Internship jobs in Toronto, ON? For Computer Science Student Internship jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Computer Science Student Internship jobs in Toronto, ON look for? The top searched job categories for Computer Science Student Internship jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science Student Internship jobs? Cities near Toronto, ON with the most Computer Science Student Internship job openings:
Computer Science Student Internship jobs near you
Infographic showing various Computer Science Student Internship job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $48,514 per year, or $23.3 per hour.

Quantitative Finance Internship Winter 2027

CPP Investments

Toronto, ON

Full-time

Posted 12 days ago

Job description

Purpose.Performance. People.


Joining CPP Investments means joining one of the world's most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.


The Role


We are recruiting Quantitative Finance Interns for the Winter 2027 term. This four-month internship, beginning in January 2027, offers students the opportunity to gain hands-on experience supporting investment professionals across a range of quantitative finance teams.


The Team


Public Credit - Credit Investments

Team Overview: The Public Credit (PC) group invests in investment and sub-investment grade, public, single-name credits (such as corporate credits in an individual company) and credit indexes globally across all sectors. The group invests in liquid credit products across the capital structure with a focus on products with higher credit ratings. Instruments include corporate bonds, hard-currency sovereign debt, credit exchange-traded funds, credit derivatives, asset-backed securities, residential mortgage-backed securities and collateralized loan obligations. PC also manages the Supplementary Credit Pool portfolio, a passive portfolio of high grade global corporate bonds.

What you'll do:

  • Leverage programming skills in Python and SQL to develop and enhance proprietary analytical tools.

  • Enhance risk reporting and performance analysis tools.

  • Collaborate with portfolio managers and the Quantitative team to improve models.

  • Monitor credit markets and macro environment to contribute to research and trade ideas.

  • Conduct ad-hoc analysis on portfolio management, market structure, and investment opportunities.

Quantitative Models, Applied Research and Models - Total Fund Management

Team Overview:The Quantitative Models team within TFM develops and delivers advanced analytical models and tools - spanning risk modeling, portfolio optimization, and asset allocation - to support data investment decisions at the total fund level.

Whatyou'lldo:

  • Contribute to implementing components of investment models and portfolio analytics

  • Collaborate with quant researchers and portfolio managers to clarify specifications and interpret results

  • Assess and communicate the impact of modeling changes on portfolio metrics

  • Contribute to maintaining existing models and tools managed by the team

Dynamic Portfolio Management - Total Fund Management

Team Overview:Dynamic Portfolio Management designs and optimizes the total portfolio by leveraging diversification, investment selection, and tactical positioning, while managing factor exposures and global rebalancing to maximize long-term returns without undue risk.

What you'll do:

  • Under the guidance of senior team members, contribute to the design and implementation of portfolio management tools within DPM.

  • Participate in the design and development of analytic enhancements, to support investment decisions

  • Assist in preparing presentation materials and presenting investment recommendations.

  • Communicate complex analysis in clear, tailored formats, synthesizing actionable insights for the team.

  • Stay up to date with markets and macroeconomic trends to identify opportunities and risks related to fund exposures.

Beta,Collateral, and Liquidity Management (BCLM)- Total Fund Management

Team Overview: Theteamworks in partnership with groups across TFM andis responsible forthedeliveryof the total Fund'sEquity and Fixed IncomeBalancing Portfolios,collateral optimization,leverage,andpublic marketliquidityportfolios.

What you'll do:

  • Helping our teamwith day-to-dayportfolio management,collateraland/orfinancingactivities on the desk,such asrisk analysis, profit- and-loss attributionand other analysis.

  • Developingondesk analyticaltools.

  • Ad-hoc projectsanalyzing topicssuch as portfolio management, trading,collateral,marketstructureand financing opportunities.

Qualifications

  • Currently pursuing an undergraduate or graduate degree in STEM, business, finance, economics, mathematics, engineering, computer science, or related field, graduating Aug 2027 or later, with excellent academic performance.

  • Strong problem-solving, analytical, written and verbal communication skills; ability to manage multiple priorities and thrive in a collaborative, dynamic environment.

  • Programming experience in Python (strongly preferred) with exposure to TypeScript, SQL, database management (MySQL, SQL Server, Oracle), and other languages (C++, Java, R, VBA) considered an asset.

  • Experience with AI-assisted coding tools and the ability to leverage them effectively to enhance modeling and portfolio analysis are assets.

  • Interest in finance, global markets,trading, investmentmanagement, and market structure, investment management, capital markets, modern portfolio theory, and quantitative portfolio techniques; background or interest in numerical analysis, optimization, linear algebra, or software design is an asset.


You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.


We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.

Inclusion & Accessibility

CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.


CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.


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