Lead end-to-end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.
Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling.
Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models.
Investigate, evaluate, and implement AI/ML tools and algorithms to solve complex business problems.
Develop compelling visualizations and data stories tailored to technical and non-technical audiences.
Partner with business owners to drive advanced analytics and AI/ML adoption.

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance, Actuarial Science)
7 years of relevant experience in advanced analytics, data science, or applied AI/ML in domains such as financial services, technology, consulting, or similar industries
Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms)
Strong experience with PySpark for big data processing and PyTorch for deep learning model serving
Bilingual proficiency (English/French) is a nice-to-have

Senior Full Stack Data Science Engineer

Key skills