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.
Job Description:About the RoleWe 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 with causal inference or reinforcement learning
Our Total Rewards PackageOur 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.
Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & OnboardingWe 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.
We look forward to hearing from you!
Language Requirement (Quebec only):Sans Objet
