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Apply as an Applied Machine Learning Scientist for TD’s Wealth AI practice in Toronto.
Work on Generative AI, Agentic capabilities, and traditional ML models for wealth use cases.
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.
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 innovative 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 in causal inference or reinforcement learning
Who We Are
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more
Additional Information
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development
If you’re interested in a specific career path or are looking to build certain skills we want to help you succeed.This age you may ar…
Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
Language Requirement (Quebec only)
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