Apply advanced machine learning and deep learning expertise at TD in Toronto, developing solutions for personal banking products and marketing.As an Applied Machine Learning Scientist II, you will build and deploy models supporting customer propensity, next best action, churn prediction, and audience targeting. You will analyze structured and unstructured datasets, perform feature engineering, and apply Python, PySpark, PyTorch, SQL, cloud platforms, and MLOps practices. The work includes research, stakeholder communication, documentation, and risk alignment.Key Responsibilities:




Develop state-of-the-art machine learning models for personal banking productsAnalyze complex datasets scaling to petabytesApply deep learning and large language modelsEngineer features to improve accuracy and interpretabilityPresent research, progress, plans, and risks to stakeholdersRequirements:
Master's or Ph.D. degree in a STEM disciplineFive or more years of relevant experienceProduction machine learning development and deployment experiencePython, PySpark, PyTorch, SQL, cloud, and MLOps experienceMarketing model experience with demonstrated business impactBring marketing analytics, production modeling, and advanced AI skills to TD’s personal banking solutions in Toronto.
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📌 Machine Learning Scientist Marketing Models Winnipeg
🏢 TD Bank Group
📍 Winnipeg