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Computer Science Internship Jobs in London, ON (NOW HIRING)

... Internship(s) . If you thrive on challenges in a fast paced environment, this is the opportunity ... scientists. * A strong mentoring culture, with each hire assigned a dedicated mentor, a new hire ...

Oversees the collection of patient medical history and maintenance of the confidential computer ... Bachelor of Science or Doctorate of Pharmacy required. * Licenses/Certifications: Licensed ...

Oversees the collection of patient medical history and maintenance of the confidential computer ... Bachelor of Science or Doctorate of Pharmacy required. * Licenses/Certifications: Licensed ...

Strong academic background (e.g., computer science, engineering) * Graduate degree nice to have * Technical Skills * 7+ Years of experience with Java , Spring Boot & Node JS * Strong proficiency in ...

Computer Science Internship information

See London, ON salary details

$7

$19

$42

How much do computer science internship jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for computer science internship in London, ON is $19.08, according to ZipRecruiter salary data. Most workers in this role earn between $10.37 and $21.99 per hour, depending on experience, location, and employer.

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

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

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

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What Are Internship Opportunities in Computer Science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in London, ON? The most popular types of Computer Science jobs in London, ON are:
What cities near London, ON are hiring for Computer Science Internship jobs? Cities near London, ON with the most Computer Science Internship job openings:
Graduate Quant Developer

Other

Posted 3 days ago


Job description

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview:

Squarepoint is seeking talented, curious, and selfdriven graduatelevel candidates who are eager to apply strong quantitative and computational foundations in a challenging and innovative environment at the intersection of technology and investment research.
 
As a Graduate Quant Developer, you will work on the front line of our quantitative research business, collaborating closely with quantitative researchers and technologists to design, build, and maintain scalable, productiongrade systems that directly support alpha generation and investment decisionmaking. This role is designed to support earlycareer growth through handson development, close collaboration, and continuous learning in a highly collegiate, highperformance environment.
 
Role and Responsibilities
  • Apply quantitative reasoning and software engineering skills to support investment research and trading
  • Learn to translate business and research requirements into scalable, maintainable data processing workflows
  • Work closely with quantitative researchers to design and implement efficient workflows for alpha generation
  • Contribute to datadriven analytics and tooling across a wide range of asset classes
  • Develop, extend, and maintain libraries, tools, and frameworks used by researchers and traders globally
  • Collaborate closely with peers across our global Investment and Technology departments
  • Gradually take ownership of technical components and contribute ideas and solutions with direct commercial impact
Required Qualifications
  • Degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, or similar) with a strong interest in computational and softwaredriven problem solving
  • Proficiency in at least one of our core languages: Python, C++, or KDB+/q
  • Prior exposure to software development in a commercial, academic, or research environment, evidenced through internships, academic projects, work experience, or personal projects
  • Familiarity with Linux and version control systems (e.g. git)
  • Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows
  • Clear written and verbal communication skills
  • Strong curiosity, motivation to learn, and willingness to develop new skills
  • Ability to work effectively in a fastpaced, collaborative team environment
Nice to Have
  • Proficiency in more than one of our core programming languages
  • Exposure to quantitative finance, trading, or financial markets through coursework, projects, or internships
  • Previous experience in a financial services or technologydriven environment
  • Handson experience using git and Linux in teambased or academic projects