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 products
Analyze complex datasets scaling to petabytes
Apply deep learning and large language models




Engineer features to improve accuracy and interpretability
Present research, progress, plans, and risks to stakeholders
Requirements: Master's or Ph.D. degree in a STEM discipline
Five or more years of relevant experience
Production machine learning development and deployment experience
Python, PySpark, PyTorch, SQL, cloud, and MLOps experience
Marketing model experience with demonstrated business impact
Bring marketing analytics, production modeling, and advanced AI skills to TD’s personal banking solutions in Toronto.

#J-18808-Ljbffr

📌 Machine Learning Scientist Marketing Models (Ontario)
🏢 TD Bank Group
📍 Ontario