Full Stack Data Science Engineering Specialist
Core
Lead end-to-end performance diagnostics and translate complex data into actionable insights for business leaders in financial services.
Role type
Senior Applied Data Science & AI/ML Specialist
Builds
Scalable analytics assets, datasets, dashboards, segmentation frameworks, and predictive AI/ML models
Domain
Financial Services / Retail Banking
Deliverable
production ML models | dashboards & analysis
Required skills
Business acumen, hypothesis testing, ML/AI lifecycle management, cloud AI/ML services, data stewardship, Python, PySpark, SQL, Power BI, Databricks, PyTorch
Preferred skills
Customer analytics in financial services, optimizing analytical assets, bilingual proficiency (English/French)
Technologies
Azure, AWS, Databricks, Kubernetes, Docker, Azure Machine Learning, Azure Data Factory, Snowflake, PyTorch, Power BI, Tableau
Responsibilities
Lead performance diagnostics across customer/product/advisor dimensions; translate data into insights via hypothesis testing; design scalable analytics assets; implement AI/ML tools; develop visualizations and data stories; partner with business owners to drive AI/ML adoption; mentor teams on advanced analytics methodologies
Seniority
Senior, hands-on IC with strategic influence
