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Data Scientist Jobs in Quebec (NOW HIRING)

Opportunite A Valtech, vous trouverez un environnement propice a l'apprentissage continu, a l'impact concret et a la croissance professionnelle. Que vous developpiez de nouvelles solutions digitales ...

Position Summary We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems ...

Position Summary We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI from classical predictive modelling to large language models, agentic AI systems, and ...

Showing results 41-60

Data Scientist information

See Quebec salary details

$40K

$119.9K

$188.5K

How much do data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist in Quebec is $119,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $140,500.00 per year, depending on experience, location, and employer.

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 statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
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 are popular job titles related to Data Scientist jobs in Quebec? For Data Scientist jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Quebec look for? The top searched job categories for Data Scientist jobs in Quebec are:
What are popular job titles related to Data Scientist jobs in QC? For Data Scientist jobs in QC, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,852 per year, or $57.6 per hour.

Data Scientist, Model Validation

Desjardins Group

Montreal, QC • On-site, Remote

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Desjardins Group uses a large number of data-driven quantitative models to support its product and service offer and to properly manage its risks, with the goal of always doing what's best for members and clients. While these models provide indisputable decision-making support, their use leads to further risks that must in turn be analyzed, assessed and mitigated. As a data scientist, model validation, you help ensure that data is appropriately valued at each stage of the model's life cycle. You help make business decisions, develop solutions and services tailored to business issues and interpret member/client behaviour. In this respect, you check that the validation programs in place are properly applied to ensure that the models comply with all quality criteria used by Desjardins Group. You make recommendations on the development and use of models with a high degree of operational and conceptual complexity, using your analytical skills and comprehensive, in-depth understanding of your line of business and the organization. You serve as a specialist advisor and subject matter specialist and assist the expert advisor in their role as a resource person for senior management and decision-making bodies. You interact with many interested parties who work in a wide range of fields and in model governance. More specifically, you will be required to:

  • Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives
  • Ensure that predictive modelling is carried out according to the required standards and that Desjardins Group's quality criteria are met through the validation process
  • Analyze the business needs behind the model and confirm the model's suitability through validation
  • Ensure that the programming required to prepare and mine data, and to develop, evaluate, support, roll out and manage highly conceptually complex and innovative models meets the required standards
  • Use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence
  • Help draft guidelines and methods and shape methodological and technological choices
  • Advise and train teams on quantitative model validation methods and update them to improve delivery speed
  • Identify opportunities to optimize rules and systems, anticipate underlying impacts of changes and help develop data management and modelling support tools
  • Represent teams with various internal interested parties
  • Monitor the industry to understand and anticipate trends in your field of expertise in model validation, with a view to developing and updating practices that are contextually appropriate 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.


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
  • Knowledge of French is required
  • Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • Proficiency in risk management models in at least one of the following areas:
    • Credit: Scoring models, shadow ratings, IFRS 9 and regulatory parameters (PD, LGD, EAD, SICR, ECL, for example), including economic capital calculation and stress testing using SAS, Python, MATLAB and RiskFrontier
    • Liquidity: Pre-payment models, LCR, NCCF including economic capital calculation and stress testing using QRM and Python
  • Knowledge of mathematical modelling and statistics
  • Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS
  • Knowledge of the banking industry
  • Knowledge of Basel regulations
Complexity, Innovation, Interpersonal Savvy

Trade Union (If applicable)

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)

Unposting Date

2026-08-4