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.

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