Data Scientist

Role Overview
As a Data scientist assigned to the Finance function, you play a key role in the technological aspect of Finance’s approach to innovation. You work directly with business teams to transform pain points, needs and opportunities, which are sometimes poorly defined, into concrete solutions by leveraging artificial intelligence, advanced analytics and automation. Your strength lies in building quickly and proving value. You’re comfortable in situations where the solution isn’t predefined and can quickly move from understanding a problem to creating a functional prototype. You design proofs of concept, pilots and minimum viable products (MVPs) in short cycles to test hypotheses and quickly inform the decision to continue, adjust, pivot or stop. You contribute, in particular, to developing and experimenting with new solutions using generative AI and AI agents. You also act as an artificial intelligence expert advisor for the Finance community, working closely with the Innovation team. Solutions that have demonstrated their value are then prepared for production with the relevant teams. More specifically, you will be required to: Understand and structure sometimes ambiguous business problems, then identify and qualify, with the relevant teams, use cases with high potential for the application of AI, advanced analytics, and automation. Assess the technical feasibility, business value and adoption potential of the proposed solutions to focus efforts on the most promising initiatives. Quickly design and develop prototypes, proofs of concept, pilots, and MVPs in short cycles of a few weeks to test hypotheses, measure their value, and determine whether to continue, adjust, pivot or stop. Develop artificial intelligence and data science solutions, including models, algorithms and solutions using generative AI, large language models (LLMs), AI agents or other relevant approaches depending on the problem to be solved. Integrate various technologies, models, APIs and data sources to quickly build functional prototypes and concretely demonstrate their potential to users. Explore, experiment with and compare new AI technologies and approaches in a rapidly evolving technological environment to inform choices and application possibilities within the Finance function. Analyze and leverage financial and operational data to support experimentation, identify trends, risks and optimization opportunities, and inform the development of solutions. Work directly with business teams, explain the possibilities and limitations of technologies plainly, support experimentation with users, and serve as an AI resource person for the Finance community. Ensure the responsible, secure and compliant use of data and AI solutions, in alignment with the organization’s guidelines. Prepare solutions that have demonstrated their value for production and scaling by documenting lessons learned, success factors and technical requirements, in collaboration with the relevant teams.Key Responsibilities
Understand and structure sometimes ambiguous business problems, then identify and qualify, with the relevant teams, use cases with high potential for the application of AI, advanced analytics, and automation.Assess the technical feasibility, business value and adoption potential of the proposed solutions to focus efforts on the most promising initiatives.Quickly design and develop prototypes, proofs of concept, pilots, and MVPs in short cycles of a few weeks to test hypotheses, measure their value, and determine whether to continue, adjust, pivot or stop.Develop artificial intelligence and data science solutions, including models, algorithms and solutions using generative AI, large language models (LLMs), AI agents or other relevant approaches depending on the problem to be solved.Integrate various technologies, models, APIs and data sources to quickly build functional prototypes and concretely demonstrate their potential to users.Explore, experiment with and compare new AI technologies and approaches in a rapidly evolving technological environment to inform choices and application possibilities within the Finance function.Analyze and leverage financial and operational data to support experimentation, identify trends, risks and optimization opportunities, and inform the development of solutions.Work directly with business teams, explain the possibilities and limitations of technologies plainly, support experimentation with users, and serve as an AI resource person for the Finance community.Ensure the responsible, secure and compliant use of data and AI solutions, in alignment with the organization’s guidelines.Prepare solutions that have demonstrated their value for production and scaling by documenting lessons learned, success factors and technical requirements, in collaboration with the relevant teams.What we offer
Competitive salary and annual bonus4 weeks of flexible vacation starting in the first yearDefined benefit pension plan that provides predictable, stable income throughout retirementGroup insurance including telemedicineReimbursement of health and wellness expensesBenefits apply based on eligibility criteria.#LI-HybridWhat we bring to the table
Bachelor’s degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related fieldA minimum of six years of relevant experience in data science, artificial intelligence, machine learning, development of analytical solutions or related fieldsPlease note that other combinations of qualifications and relevant experience may be consideredHands-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 usersHands-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 technologiesExperience with APIs and modern AI solution development environments, and the ability to integrate various services, models and data sources to quickly build functional solutionsDemonstrated experience explaining complex technical concepts and influencing decision-making among non-technical audiencesExperience analyzing and structuring complex or poorly defined business issues, developing relevant hypotheses and quickly transforming them into concrete and measurable experimentsKnowledge of French is requiredProficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling librariesKnowledge of the corporate Finance/Accounting function or the ability to quickly understand a new business areaAction oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning Equity, Diversity, Inclusion and AccessibilityEquity, 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!About Desjardins
Desjardins Group is the largest cooperative financial group in North America. We're the choice for over 52,000 employees and we're named one of Canada's top employers by Mediacorp and Forbes. We offer a full range of financial products and services and share our expertise in personal services, business services, wealth management, life and health insurance, and property and casualty insurance. Pursuing a career at Desjardins means being part of an organization that puts people first.
#J-18808-Ljbffr