Data Scientist, Data valorization

As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead internal and external stakeholders in model development projects adapted to business needs and in complex strategic interventions in advanced analytics and artificial intelligence. Your initiatives require extensive, in-depth knowledge of your field. You help solve highly operationally and conceptually complex business problems using your ability to mine multiple data sources, your analytical skills and your in-depth, comprehensive understanding of the business line and the organization. You rely on your solid understanding of the various methods to make recommendations. You serve as an expert advisor and subject matter expert on data use for stakeholders, and as a resource person and coach for decision-making bodies. You interact with many stakeholders working in a wide range of fields to understand and communicate issues and influence decision-making. More specifically, you will be required to:

• Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and the selection of predictors for a wide range of complex predictive modeling mandates
• Analyze client and partner business needs, generate hypotheses, and lead mandates, taking into account the specifics of their operationalization and ensuring coordination during the rollout 
• Use advanced statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs
• Create the programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage highly complex models
• Prepare easy-to-understand presentations and data visualizations to support the sector's business decisions when presented to management for consideration
• Draft guidelines and data modelling methods ensure specifications for optimal model performance are met, help develop documentation, and prepare and deliver training
• Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and make enhancements to data management tools

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 six years of relevant experience
• Please note that other combinations of qualifications and relevant experience may be considered
• Academic specialization in a quantitative field (e.g., Certificate, Master's degree, or PhD)
• Knowledge of French is required for positions in Quebec
• Advanced proficiency 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

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

2026-10-26