Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
LP
Data Scientist (Banking/ Python/ AI)
Posted via LinkedIn Recruiter (not a company profile)
Posted 2 months ago
About the role
- Data Scientist needed to support AI-driven data intelligence in Capital Markets using Azure Databricks and Python.
Responsibilities
- Analyze large datasets within Azure Databricks to identify trends, insights, and business opportunities. Support the development of AI and GenAI use cases across Equity Markets. Use Python to prepare, clean, transform, and analyze data for AI applications. Collaborate with business stakeholders to understand opportunities for process improvement through AI. Research, evaluate, and summarize information using AI-enabled solutions. Prepare datasets and workflows supporting large language models and AI models. Extract actionable insights from complex data and communicate findings effectively. Support experimentation with AI tools such as Microsoft Copilot Studio, LangChain, or similar platforms. Collaborate with data engineers and technology teams to leverage Azure Databricks as the enterprise data platform.
Requirements
- 3–5 years of experience in data analytics, business intelligence, or data science roles. Strong hands-on experience with Python and SQL. Proven ability to extract insights from large datasets. Experience supporting AI, machine learning, or GenAI initiatives. Familiarity with Azure Databricks preferred. Analytical mindset with ability to translate business needs into technical solutions. Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, Engineering, Economics, Physics, Business).
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