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 in Ottawa employer: TD Bank Group
TD Bank Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of Payments Modernization. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, all while being part of a leading financial institution located in the vibrant city of Toronto.
