Data Scientist

Desjardins

. Understand and structure sometimes ambiguous business problems, then identify and qualify use cases with high potential for AI, advanced analytics, and automation .

Posted 11/4/2026full-timeMontréal • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing artificial intelligence and data science solutions, including generative AI and large language models, while effectively communicating complex technical concepts to non-technical stakeholders. Proficient in integrating various technologies and data sources to create functional prototypes and scalable solutions in a finance context.

Highest-signal resume keywords

Artificial Intelligence DevelopmentGenerative AI SolutionsPrototyping and MVP DevelopmentPython and SQL ProficiencyBusiness Problem Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningAlgorithmsLarge Language ModelsAPIs IntegrationStatistical AnalysisPrototypingModel DevelopmentData ProcessingAnalytical Solutions

Soft Skills

Interpersonal SavvyCustomer FocusAction OrientedNimble LearningInnovation

Industry Keywords

FinanceOperational Data AnalysisComplianceBusiness Value AssessmentTechnical Feasibility

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Understand and structure sometimes ambiguous business problems, then identify and qualify use cases with high potential for AI, advanced analytics, and automation
Assess technical feasibility, business value and adoption potential of proposed solutions
Design and develop prototypes, proofs of concept, pilots and MVPs in short cycles
Develop artificial intelligence and data science solutions, including models, algorithms, generative AI, large language models, AI agents and other relevant approaches
Integrate technologies, models, APIs and data sources to build functional prototypes
Explore, experiment with and compare new AI technologies and approaches
Analyze and leverage financial and operational data to identify trends, risks and optimization opportunities
Work directly with business teams, explain technology possibilities and limitations, support user experimentation and serve as an AI resource for Finance
Ensure responsible, secure and compliant use of data and AI solutions
Prepare validated solutions for production and scaling by documenting lessons learned, success factors and technical requirements

Requirements

What you’ll need

Bachelor’s degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
A minimum of six years of relevant experience in data science, artificial intelligence, machine learning, development of analytical solutions or related fields
Please note that other combinations of qualifications and relevant experience may be considered
Hands-on experience in the design and implementation of prototypes, proofs of concept, pilots or MVPs in short cycles, from understanding the business need to demonstrating value to users
Hands-on experience in generative artificial intelligence, particularly in the design or prototyping of solutions using large language models (LLMs), AI agents, RAG approaches or other comparable technologies
Experience with APIs and modern AI solution development environments, and the ability to integrate various services, models and data sources to quickly build functional solutions
Demonstrated experience explaining complex technical concepts and influencing decision-making among non-technical audiences
Experience analyzing and structuring complex or poorly defined business issues, developing relevant hypotheses and quickly transforming them into concrete and measurable experiments
Knowledge of French is required
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Knowledge of the corporate Finance/Accounting function or the ability to quickly understand a new business area
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Benefits

Comp & perks

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