Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $105,500 - $125,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: About the Role We are looking for a highly motivated Applied Machine Learning Scientist to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you will work at the intersection of problem discovery, solution design, and implementation, helping shape how agent‑based and traditional AI solutions are applied across Wealth use cases. You will partner closely with business, technology, and risk stakeholders to evaluate whether a given problem is best solved using Agentic AI, Generative AI, or traditional ML approaches,



and then help build solutions in Gen AI / Agentic space either using Pro Code or Low Code tools. What You’ll Do Develop, deploy, and maintain ML models for use cases such as customer segmentation, acquisition, pricing and lifetime value Translate business problems into analytical frameworks and collaborate with cross‑functional teams to define success metrics and solution approaches Conduct rigorous model evaluation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production Communicate complex technical results to non‑technical stakeholders and provide actionable insights Stay current with ML research and industry trends to bring creative approaches into production What You Bring 2+ years of experience applying machine learning to real‑world business problems Proficiency in Python and key ML libraries Experience with structured and unstructured data, feature engineering, and model interpretability techniques Hands‑on experience with model deployment and monitoring in a production environment Strong problem‑solving skills and a track record of delivering results in cross‑functional teams Undergraduate degree required, advanced technical degree in a STEM field preferred Nice to Have Experience working in financial services or regulated environments Exposure to GenAI or large language models and their practical applications Familiarity with causal inference or reinforcement learning Who We Are TD is one of the world's leading global financial institutions and is the fifth largest

📌 Applied Machine Learning Scientist At Td (Toronto)
🏢 Altis Labs
📍 Toronto