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Senior Data Scientist, Finance
DesjardinsSenior Data Scientist developing AI, advanced analytics, and automation solutions for Desjardins’ Finance teams. Building proofs of concept, models, and AI agents for production adoption.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI models and algorithms tailored for Finance, with a strong focus on data analysis, technical feasibility assessment, and stakeholder collaboration. Proficient in Python and SQL, with a solid understanding of financial processes and compliance in AI applications.
Highest-signal resume keywords
AI Model DevelopmentPython ProficiencySQL ProficiencyData AnalysisFinancial Knowledge
ATS Keywords
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Hard Skills
Data ScienceMachine LearningModel DesignAlgorithm DevelopmentProofs of ConceptGenerative AIData ProcessingStatistical AnalysisBusiness Problem StructuringTechnical Feasibility Assessment
Soft Skills
Stakeholder CommunicationInfluencing DecisionsCollaboration
Industry Keywords
FinanceFinancial ControlFinancial PlanningData ComplianceOperational Data AnalysisAI SolutionsAutomationAdvanced AnalyticsTrends IdentificationRisk Analysis
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Identify and qualify, with stakeholders, high-potential use cases for AI, advanced analytics, and automation within Finance
- Assess technical feasibility, business value, and adoption potential to prioritize initiatives
- Design and develop proofs of concept, pilots, and MVPs within a few weeks to validate or reject hypotheses
- Develop models, algorithms, and AI agents for Finance teams
- Explore, test, and compare new AI technologies to inform technology choices
- Analyze financial and operational data to identify trends, risks, and optimization opportunities
- Support Finance teams in experimenting with and adopting solutions and act as an AI resource
- Ensure responsible, secure, and compliant use of data and AI solutions
- Prepare validated solutions for production with relevant technology teams
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 related to data science
- Other combinations of qualifications and relevant experience may be considered
- Hands-on experience delivering proofs of concept or experimental projects in short cycles, from business need to demonstration of value
- Experience designing models, data products, and artificial intelligence solutions, including generative AI or AI agents
- Experience explaining complex technical concepts and influencing decisions among non-technical stakeholders
- Knowledge of French is required
- Proficiency in Python, key data processing and analysis libraries, and SQL
- Knowledge of the Finance function, including accounting, financial control, and financial planning and analysis, or work experience supporting these areas
- Knowledge of financial processes, data, and terminology
- Proficiency analyzing and structuring ambiguous or poorly defined business problems
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 and telework equipment