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Manager Data Scientist Jobs in Quebec (NOW HIRING)

Apply responsible AI principles, including fairness, transparency, and model risk management ... PhD in Artificial Intelligence, Data Science, Computer Science, or a related quantitative field ...

Position Summary We are seeking a Senior Data Scientist with deep expertise across the full ... Apply responsible AI principles, including fairness, transparency, and model risk management.

Showing results 21-40

Manager Data Scientist information

See Quebec salary details

$25K

$118.9K

$195.5K

How much do manager data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data scientist in Quebec is $118,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
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 cities in Quebec are hiring for Manager Data Scientist jobs? Cities in Quebec with the most Manager Data Scientist job openings:
Infographic showing various Manager Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,856 per year, or $57.1 per hour.

Data Scientist, Model validation

Desjardins Group

Levis, QC • Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

Desjardins Group uses a wide range of data-driven quantitative models to support its product and service offer and to effectively manage risk, 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. The primary focus will be on models used in market risk, interest rate risk and liquidity risk management.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

*Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in a related field
  • A minimum of six years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Expertise in mathematical modelling and statistics
  • Proficiency in risk management models in at least one of the following areas:
    • Market risk: Pricing models (BSM, Heston, Hull-White, GSR, G2) for options, bonds, caps, swaps, swaptions and credit products, as well as VaR and SVaR models, economic capital calculations and stress testing using RiskMetrics and Python
    • Interest rate risk: Risk-weighted Net Interest Income (NII), gap analysis, modified and effective duration, convexity analysis and Economic Value of Equity (EVE)
    • Liquidity risk: Prepayment models, Liquidity Coverage Ratio (LCR), Net Cumulative Cash Flow (NCCF), economic capital calculations and stress testing using QRM and Python
  • Knowledge of the banking industry
  • Knowledge of Basel regulations
  • Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS
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