Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:$125,500 - $154,000 CADTD 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:We’re looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In this role, you’ll drive the development and deployment of ML solutions that power data-driven decision-making across our Canadian Personal Banking division. You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact.This role offers an excellent opportunity to apply your technical skills to real world challenges and see your work positively impact colleague and customer experience. You will be expected to work with multiple business partners to advance the use of Machine Learning and AI TD.Key AccountabilitiesDevelop, deploy, and maintain Predictive and Generative AI models for use cases such as: Agentic AI, LLM-based models, Pricing, Anomaly Detection.Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approachesConduct rigorous model evaluation, documentation, A/B testing,



and monitoring to ensure model performance, fairness, and stability in productionCommunicate complex technical results to non-technical stakeholders and provide actionable insightsStay current with ML research and industry trends to bring innovative approaches into productionTake a lead role in scoping of recent models – translate business needs into analytical solution.Job RequirementsCommunication & relationship skills:Excellent written and verbal communication.Comfortable and effective when interacting with wide range of business partners and stakeholders.Ability to develop and maintain strong internal relationships with several stakeholders.Ability to translate complex/technical terms and concepts into easy-to-understand business language.Strategic Thinking & Judgment:Creative, out-of-the-box thinker, with strong conceptual and problem-solving skills.Motivated to constantly strive to find innovative ways to enhance processes and analytical solutions.Capable of quickly uncovering potential drivers for model performance variation to inform life-cycle management decisions.Technical Competencies:Proficiency in Python and key ML librariesExperience with structured and unstructured data, feature engineering, and model interpretability techniquesExposure to GenAI or large language models and their practical applicationsHands-on experience with model deployment and monitoring in a production environmentExperience with SQL, Azure Cloud and Azure ML Services is an assetEducation & ExperienceUndergraduate degree in Science, Technology, Engineering, Math, or modeling related discipline such as Economics or Finance.Graduate degree is considered an asset.5+ years of relevant experience preferred.Nice to HaveExperience working in financial services or regulated environmentsFamiliarity with causal inference, anomaly detection or agents.Who We Are:TD is one of the world's leading global financial institutions and is the fifth largest

📌 Applied Machine Learning Scientist Ii (Toronto)
🏢 TD
📍 Toronto