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Data Scientist Internship Jobs in Quebec (NOW HIRING)

We offer a range of data internships that will allow you to sharpen your skills in: 💡Information ... Work alongside data scientists and IT experts on a multidisciplinary squad to design, develop ...

HOW YOU'LL MAKE A POSITIVE IMPACT As part of the Data Science Development team, you will contribute ... or internship-are subject to a criminal background check. Positions that involve access to ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems, or a related quantitative field * 1-2 years of hands-on BI or data experience (internships and university projects ...

University degree in Computer Science, Software Engineering, or a related field; * 5 to 10 years of ... Positions that involve access to financial data are also subject to a credit check. All ...

University degree in Computer Science, Software Engineering, or another relevant discipline; * 0 to ... Positions that involve access to financial data are also subject to a credit check. All ...

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Data Scientist Internship information

See Quebec salary details

$9

$34

$81

How much do data scientist internship jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data scientist internship in Quebec is $34.38, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $50.00 per hour, depending on experience, location, and employer.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What are the most commonly searched types of Data Scientist jobs in Quebec? The most popular types of Data Scientist jobs in Quebec are:
What job categories do people searching Data Scientist Internship jobs in Quebec look for? The top searched job categories for Data Scientist Internship jobs in Quebec are:
What cities in Quebec are hiring for Data Scientist Internship jobs? Cities in Quebec with the most Data Scientist Internship job openings:
Infographic showing various Data Scientist Internship job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,505 per year, or $34.4 per hour.

Data internship, Fall 2026

Desjardins Group

Levis, QC • Hybrid

Full-time

Re-posted 26 days ago


Job description

💚 Desjardins Group has adopted a data strategy designed to maximize the value of our data and enhance the member and client experience. Our ambition is to sustain our growth and strengthen our reputation as a recognized leader in data valorization, security, compliance, ethics and governance. We offer a range of data internships that will allow you to sharpen your skills in:

💡Information analytics (business intelligence)

  • Help deepen our understanding of members and clients through data valorization and analysis to support strategic decision making

  • Create visual reports and issue recommendations to meet the needs of internal partners

📊Advanced analytics

  • Take part in exploring, evaluating and developing innovative AI methodologies and products to support data valorization

  • Help innovate and explore in one of our areas of expertise, like structured and unstructured synthetic data, generative and multimodal language models, etc.

  • Help monitor new advances in AI and support their adoption by Desjardins Group

🤖Machine learning operations (MLOPS)

  • Work alongside data scientists and IT experts on a multidisciplinary squad to design, develop, deploy and monitor machine learning and AI systems

  • Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models

  • Develop and maintain application programming interfaces (APIs) and software development kits (SDKs) that expose analytical models to applications in production

🛡Data governance

  • Document metadata in the information governance catalogue

  • Prepare content for metadata loading templates and update the catalogue and reference databases

  • Help data governance advisors classify metadata according to the current data architecture framework in a secure and private environment

What you bring to the table

  • Your educational institution must credit or certify your internship toward a bachelor's degree or a master's degree in an appropriate discipline

  • Knowledge of French required

  • Proficiency in software development, including object-oriented programming for machine learning operations

  • Knowledge of tools such as Tableau and Power BI for information analytics

  • Knowledge of SAS and SQL for information analytics

  • Knowledge of machine learning algorithms, deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics

  • Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc.) for advanced analytics

  • Knowledge of MS Office suite (especially Excel) for data governance

At Desjardins, we don't just support youth. We value their talent. There's a difference

#LI-Hybrid

Action oriented, Customer Focus, Differences, Nimble learning

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)