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Data Science Degree Jobs in Quebec (NOW HIRING)

National Bank

Senior data scientist

Longueuil, QC · On-site +1

  • Medical

  • Retirement

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 ...

Cogeco

Senior Director, Data & Analytics

Montreal, QC · Hybrid

Bachelor's degree in a technical or quantitative field (e.g., Computer Science, Data Science, Statistics, Information Systems, or Engineering); Master's degree or MBA is a strong asset. * Domain ...

National Bank

Senior AI Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... A bachelor's or master's degree in a related field and 7 to 10 years of relevant experience

National Bank

Senior AI Data Scientist

Laval, QC

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... A bachelor's or master's degree in a related field and 7 to 10 years of relevant experience

National Bank

Senior AI Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... A bachelor's or master's degree in a related field and 7 to 10 years of relevant experience

National Bank

Senior AI Data Scientist

Longueuil, QC · On-site

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... A bachelor's or master's degree in a related field and 7 to 10 years of relevant experience

Agropur Cooperative

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

University degree in computer science, information management, data science, or a related field * 3 to 5 years of experience in data governance or information management * Knowledge of Data Ownership ...

Transat AT

Data Architect

Montreal, QC · On-site

University degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * Minimum of 8 years of experience in Data Architecture and more than 12 years of experience in ...

Desjardins Group

Credit Risk Data Scientist

Montreal, QC · Hybrid

  • Medical

  • Retirement

  • PTO

As a credit risk data scientist, you help meet the need for assessing credit risk in the granting ... Bachelor's degree in mathematics, statistics, economics, finance or a related field or in a related ...

New

Intact Financial

Data Scientist - AI Governance

Quebec, QC · Hybrid

  • Life

  • Retirement

About the role We're looking for a Data Scientist II to join our growing team! What you'll do here ... Degree in a relevant discipline (e.g. mathematics, engineering, operations research, statistics ...

Artefact

Sr Data Analyst

Montreal, QC

... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ... Undergraduate degree with strong academic performance * 2-5 years of full-time work experience in a ...

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Showing results 21-40

All JobsData Science Degree JobsData Science Degree Jobs in Quebec

Data Science Degree information

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

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

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

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

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

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior data scientist

National Bank

Longueuil, QC • On-site, Remote

Full-time

Medical, Retirement

Posted 9 days ago

Job description

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a positive impact on the experience of our partners and clients.

Your job:

  • Collaborate with various partners to deliver high-impact analytical initiatives.
  • Ensure proper needs analysis and stakeholder management related to these initiatives.
  • Configure, analyze, test, maintain, and optimize filtering models.
  • Ensure compliance with standards surrounding the model development process and model documentation.
  • Contribute to model governance activities and to the creation and evolution of processes related to filtering models.
  • Contribute to financial crime reporting or analysis activities.  

Your team:

You are part of a team of 20 colleagues in the Compliance sector and will report to the Senior Manager - PCMLTF risk Management. Our team stands out for its expertise, spirit of collaboration and creativity, as well as its passion for fighting money laundering.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites:

  • 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 volumes of data.
  • Proficiency in SAS, SAS Viya, SQL and Python and good knowledge of the Power BI tool.
  • Experience in audit and model validation
  • Experience in filtering or financial crime prevention (an asset)
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!

Apply