Lead growth-focused machine learning and advanced analytics as a Data Scientist at EQ, working hybrid from Toronto. Build measurable solutions for banking growth.

This Data Scientist, Growth role leads the full analytical lifecycle, from ambiguous problem framing through production implementation. You will develop solutions for pricing, customer engagement, recommendation systems, experimentation, and model-driven decision support. The work spans scalable data workflows and cloud analytical environments.

Key Responsibilities

Lead machine learning development for growth and decisioning initiatives

Design scalable pipelines and feature engineering frameworks

Develop experimentation, uplift, and causal measurement frameworks

Deploy, monitor,



and retrain production machine learning solutions

Communicate findings to technical and non-technical stakeholders

Requirements

Bachelor's or Master's degree in a quantitative discipline

Six or more years of data science experience

Solid Python, Structured Query Language, and statistical analysis proficiency

Experience deploying and monitoring production machine learning models

Experience with cloud analytical environments and Git-based development

Apply advanced analytics, experimentation, and machine learning expertise to growth decision-making at EQ in Toronto.

📌 Growth Data Scientist Machine Learning (Winnipeg)
🏢 EQ Bank | Canada's Challenger Bank
📍 Winnipeg