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Data Science Intern Jobs in Quebec (NOW HIRING)

SAP iXp Intern - AI Engineer Location: Montreal, QC Expected start date to end date: September 2026 ... Master's student in Computer Science, Engineering, Data Science, Artificial Intelligence, or a ...

As an Intern, you will be responsible to provides clerical support to our claim's advisors ... Managing Lloyds and MUNI checks, entering data, scanning, and preparing items for mailing. Our ...

The intern will work closely with Operations, Quality, and IT stakeholders to improve process ... Computer Science, Information Technology, Data Analytics, Industrial Engineering, or a related ...

Applied Machine Learning Scientist II

Montreal, QC ยท On-site

CA$125K - CA$154K/yr

Graduate degree is considered an asset. 5+ years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields. Nice to Have Experience working in ...

Experience: 8 years in data science or AI engineering, with 2+ years dedicated to Generative AI. * Education: Master's in Computer Science, Data Science, Mathematics, or a related quantitative field.

Assemble large, complex data sets that meet functional / non-functional business requirements ... For all interns hired, we will reimburse the internship costs for up to $250 per intern upon ...

... data management and global BI services for the aviation industry. Inthis role, reporting to the ... the intern willbe supporting the day-to-day administrative operations and delivery of the BISteam.

... data management and global BI services for the aviation industry. Inthis role, reporting to the ... the intern willbe supporting the day-to-day administrative operations and delivery of the BISteam.

Showing results 21-40

Data Science Intern information

See Quebec salary details

$10

$33

$87

How much do data science intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data science intern in Quebec is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $39.90 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Quebec?

The most popular types of Data Science jobs in Quebec are:

What are popular job titles related to Data Science Intern jobs in Quebec?

For Data Science Intern jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Quebec look for?

The top searched job categories for Data Science Intern jobs in Quebec are:

What cities in Quebec are hiring for Data Science Intern jobs?

Cities in Quebec with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $70,068 per year, or $33.7 per hour.

Data Scientist, Fraud Detection, temporary position

Desjardins Group

Montreal, QC โ€ข Hybrid

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Temporary position for 12 months.


The Debit and Banking Payments Fraud Analytics team is part of the Fraud Analytics Department. Its mission is to combat transactional fraud by using advanced analytics to detect anomalies, understand fraud patterns and quickly implement mitigation measures to protect members and clients. As a data scientist specializing in fraud detection you provide the data needed to make business decisions, develop solutions and services adapted to business needs, and gain insight into member and client behaviour. More specifically, you will be required to :

  • Design models and strategies to quickly detect transactional anomalies
  • Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
  • Develop strategies for detecting transactional fraud
  • Test the theoretical performance of fraud mitigation models, rules and tools
  • Deploy fraud mitigation models, rules and tools into production
  • Continuously monitor fraud patterns and how well models and strategies are performing
  • Research and develop predictive variables to improve fraud detection
  • Develop, update and produce dashboards, data visualizations and various reports
  • Optimize and automate key fraud detection analytics processes
  • Provide ad hoc advice on projects to improve fraud risk management tools
  • Serve as an ad hoc advisor to the risk management teams and business sectors in your field
  • Monitor the industry to understand and anticipate trends in your field in order to develop and update best practices for the organization.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in a related field
  • A minimum of four years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Experience in analytics with transactional data
  • Experience working with cloud platforms such as IBM Cloud Pak for Data or Microsoft Azure
  • Experience with Apache Spark (via PySpark), Shiny, RStudio and Databricks
  • Knowledge of French is required
  • Proficiency in Python or R programming
  • Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy
  • Proficiency in SQL programming
  • Knowledge of GitHub
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning


Equity, Diversity, Inclusion and Accessibility

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!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-09-7