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Added 5 mins ago
Engineering Lead- Global Payments Engineering
Scotiabank
Toronto, ON
…engagement, and achieve measurable outcomes that align with strategic business value. This role will contribute to the overall success of the Core Banking Engineering teams to elevate our…
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Mindlance
Toronto, ON
- $45 to $50 CAD / hour
- Contract
Advise business partners on supplier risk policies, standards, and compliance requirements.
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Talent Acquisition Advisor
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- Full-time
We're looking for a Talent Acquisition Advisor to share the BRP Story and find and onboard the best talent that will help us continue our growth. If you enjoy taking on challenges and you…
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- Full-time
…consistently applied across initiatives. The EA serves as a trusted advisor to business and technology stakeholders while operating in close coordination with the CISO, Director of GRC, and…
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Project Delivery Advisor
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
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Act as a technical subject matter expert and advisor for critical systems.
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Senior Customer Engineer, Digital Native - Vancouver BC
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Global Operations Coordinator
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Senior Associate Advisor
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Desjardins

Data Scientist

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

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 modeling 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.

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

Complexity, Innovation, Interpersonal Savvy

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

2026-11-4

Apply About employer

More about this job

Responsibilities

You will lead complex predictive modeling projects and develop advanced analytics solutions to support business decision-making. Additionally, you will act as a subject matter expert, providing data-driven insights and training to stakeholders across the organization.

Requirements

The role requires a bachelor's degree in a related field and a minimum of six years of relevant experience. Candidates must possess strong analytical skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Skills

Data mining
Predictive modeling
Machine learning
Artificial intelligence
Statistical analysis
Feature engineering
Data visualization
Programming
Strategic planning
Stakeholder management
Business analysis
Model development
Data management
Quality inspection
Consulting

Benefits

Competitive salary
Annual bonus
Flexible vacation
Defined benefit pension plan
Group insurance
Telemedicine
Health and wellness expense reimbursement
Telework equipment

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Data Mining
Predictive Modeling
Machine Learning
Artificial Intelligence
Statistical Methods
Feature Engineering
Data Visualization
Business Intelligence
Advanced Analytics
Strategic Interventions
Data Management
Programming
Model Development
Stakeholder Management
Decision Support
Segmentation
Quality Inspection
Predictors
Operationalization

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