Generative Ai Data Science Specialist
Desjardins
Generative AI and AI agent experimentation define this hybrid Data Scientist role supporting Finance teams at Desjardins with Python and SQL expertise.You will create practical artificial intelligence solutions from unclear business challenges, moving quickly from hypotheses to working demonstrations. This Data Scientist develops models, algorithms, prototypes, and MVPs while comparing emerging approaches. You will also explain technical possibilities to users and support informed decisions across the Finance community.Key Responsibilities:
Develop generative AI, LLM, AI agent, and RAG solutionsBuild functional prototypes through short experimental cyclesAssess feasibility, business value, and adoption potentialAnalyze financial and operational data for opportunitiesExplain technology capabilities and limitations to business teamsRequirements:
Minimum six years in data science or related fieldsExperience designing pilots, proofs of concept, or MVPsExperience integrating APIs, services, models, and data sourcesAbility to structure complex, poorly defined business issuesFrench proficiency and strong Python and SQL skillsBring hands-on generative AI, experimentation, and communication skills to Desjardins Finance data science initiatives.
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Develop generative AI, LLM, AI agent, and RAG solutionsBuild functional prototypes through short experimental cyclesAssess feasibility, business value, and adoption potentialAnalyze financial and operational data for opportunitiesExplain technology capabilities and limitations to business teamsRequirements:
Minimum six years in data science or related fieldsExperience designing pilots, proofs of concept, or MVPsExperience integrating APIs, services, models, and data sourcesAbility to structure complex, poorly defined business issuesFrench proficiency and strong Python and SQL skillsBring hands-on generative AI, experimentation, and communication skills to Desjardins Finance data science initiatives.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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