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Computer Science Degree Jobs in Quebec (NOW HIRING)

A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or ...

Senior Deep Learning Engineer

Montreal, QC ยท On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Senior Deep Learning Engineer

Montreal, QC ยท On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Senior Deep Learning Engineer

Quebec, QC ยท On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Senior Deep Learning Engineer

Quebec, QC ยท On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master's or PhD) related to machine learning or ...

A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of ...

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large ...

Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities. * 5+ years of experience in deep ...

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Showing results 1-20

Computer Science Degree information

See Quebec salary details

$23.5K

$102.6K

$254.5K

How much do computer science degree jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science degree in Quebec is $102,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a computer science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

What types of entry-level roles are typically available to recent graduates with a computer science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.

What are the key skills and qualifications needed to thrive with a computer science degree, and why are they important?

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

What is the difference between Computer Science Degree vs Software Developer?

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What can you do with a computer science degree?

A computer science degree prepares individuals for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, enabling work in technology companies, finance, healthcare, and other industries that rely on computing solutions.

What jobs does a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What are popular job titles related to Computer Science Degree jobs in Quebec?

For Computer Science Degree jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Computer Science Degree jobs in Quebec look for?

The top searched job categories for Computer Science Degree jobs in Quebec are:

Infographic showing various Computer Science Degree job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $102,643 per year, or $49.3 per hour.

Data Scientist, Data Science and Artificial Intelligence (Temporary - 18 months)

PSP Investments

Montreal, QC โ€ข Hybrid

Full-time

Retirement, PTO

Posted 10 days ago


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.


Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.


ABOUT YOUR ROLE

As a Data Scientist, Data Science and Artificial Intelligence, you will play a hands-on role in harnessing data science to facilitate the generation of alpha for PSP. To this end, you will:

  • Work within a ten-person team, Alpha Science, dedicated to supporting investment decisions with AI across the whole pension fund and associated entities

  • Source, build, clean, and maintain datasets that feed Alpha Science's analyses and tools, including market data, alternative data (geolocation, foot traffic, satellite, pricing) and portfolio company data

  • Design and build data extraction and processing pipelines that turn raw, often messy sources, including documents, filings, and vendor feeds, into analysis-ready datasets

  • Conduct hands-on analysis and statistical / ML modeling to draw out insights that help deal teams pressure-test, challenge, or validate their investment theses

  • Partner with senior team members to turn ad-hoc analyses into dashboards, visualizations, and reusable tools for deal teams across PSP's asset classes

  • Develop a working knowledge of the sectors and datasets within your coverage, building the judgment to identify the questions and analyses most relevant to deal teams' decision-making

  • Prepare clear, well-structured materials that tell a compelling story with the data for both technical and non-technical stakeholders

  • Support senior team members in presenting findings directly to deal teams and, where relevant, portfolio company management

  • Contribute to and leverage the team's broader toolkit, including its LLM-powered tools, as relevant to the projects you're working on

  • Take ownership of discrete analyses and projects end-to-end, from data sourcing through to the final stakeholder-ready output

WHAT YOU'LL NEED
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university

  • Two to three (2-3) years of experience in data science, data engineering, or quantitative analytics, ideally within financial services, investing, or another analytically intensive environment

  • Strong hands-on proficiency in Python and SQL for data extraction, ingestion, wrangling, analysis, and modeling

  • Experience extracting and structuring data from varied sources (documents, filings, APIs, vendor feeds) is a strong asset

  • Experience working with cloud / lakehouse data platforms (e.g., Databricks, Snowflake) is an asset

  • Practical experience applying statistical or machine learning techniques to real-world, often messy datasets

  • Experience building dashboards or visualizations (e.g., Power BI, Tableau, or Python-based visualization libraries)

  • Experience working with alternative or unconventional datasets (e.g., geolocation, foot traffic, satellite, or pricing data) is an asset

  • Prior exposure to investment, and deals in Public Markets, Real Estate or Natural Resources is an asset

  • Resourceful and creative, with demonstrated ability to work in a fast-paced environment with shifting priorities

  • Highly effective written and verbal communication

  • Proficiency in English and French (or willingness to learn) (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)


We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development
  • Comprehensive group insurance plans
  • Competitive pension plans
  • Unlimited access to virtual healthcare services and wellness programs
  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off
  • A hybrid work model that includes four in-office days, Monday through Thursday
  • The opportunity to work temporarily from another location in accordance with the applicable policy

*Benefits package may vary based on your employee type.



At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.


Visit us on www.investpsp.com/en/

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