Apply Python and predictive analytics as an Intermediate Data Scientist in Montreal’s hybrid financial services workplace. Work onsite three days weekly.
Abbeal seeks an Intermediate Data Scientist for a Canadian financial institution. You will build machine learning solutions that inform business decisions, partnering closely with data engineers and AI engineers. The work combines statistical modelling, experimentation, feature engineering, and model interpretation.
Key Responsibilities: Build machine learning and predictive analytics models
Conduct A/B testing and causal inference experimentation
Engineer features and evaluate model performance
Support production deployment with data and AI engineers
Deliver data storytelling and prescriptive recommendations
Requirements: At least three years of data science experience
Quantitative bachelor’s, master’s, or PhD degree
Python, SQL, pandas, NumPy, and scikit-learn
Databricks notebooks, workflows, and Spark experience
Fluent French and English; hybrid Montreal availability
Bring statistical modelling, Python, and machine learning expertise to decision-focused work for a Canadian financial institution.

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📌 Intermediate Machine Learning Data Scientist (Quebec City)
🏢 Abbeal
📍 Quebec City