Intermediate Machine Learning Data Scientist

Apply Python and predictive analytics as an Intermediate Data Scientist in Montreal’s hybrid financial services environment. 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 modelsConduct A/B testing and causal inference experimentationEngineer features and evaluate model performanceSupport production deployment with data and AI engineersDeliver data storytelling and prescriptive recommendationsRequirements:
At least three years of data science experienceQuantitative bachelor’s, master’s, or PhD degreePython, SQL, pandas, NumPy, and scikit-learnDatabricks notebooks, workflows, and Spark experienceFluent French and English;
hybrid Montreal availabilityBring statistical modelling, Python, and machine learning expertise to decision-focused work for a Canadian financial institution.
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