Applied Machine Learning Scientist I

TD; Toronto; On-site; CAD 106,000 - 125,000; Full time

Benefits offered by this job

Health and well-being benefits

Savings and retirement programs

Paid time off

Banking benefits and discounts

Job summary

TD is seeking an Applied Machine Learning Scientist to join the AI2 team in Toronto. You will drive ML solutions powering data-driven decisions across Business Banking and collaborate with cross-functional teams.

The role emphasizes building, deploying, and maintaining predictive and generative AI models with focus on fairness and production stability. You’ll work on real-world business problems, use Python and ML libraries, and stay current with ML research to deliver measurable impact.

Qualifications

• 2+ years of applying machine learning to real-world business problems.
• Proficiency in Python and ML libraries.
• Exposure to GenAI or large language models and practical applications.
• Hands-on experience with model deployment and monitoring in production.

Responsibilities

• Develop, deploy, and maintain Predictive and Generative AI models for business use cases.
• Translate business problems into analytical frameworks and define success metrics.
• Conduct model evaluation, A/B testing, and monitoring for production readiness.
• Communicate complex results to non-technical stakeholders.

Skills

Python

ML libraries

Data engineering

GenAI / LLMs

Model deployment

Cross-functional collaboration

Analytical problem solving

Education

Bachelor’s degree in STEM

Tools

Python environments

Job description

Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:$105,500 - $125,000 CADThe 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: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 Business Banking division. You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact.This is a unique opportunity work on high-impact initiatives in a fast-growing function. If you're passionate about solving real-world problems with machine learning and want to make a tangible difference at scale, we'd love to hear from you.What You’ll DoDevelop, 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 productionWhat You Bring2+ years of experience applying machine learning to real-world business problemsProficiency 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 environmentStrong problem-solving skills and a track record of delivering results in cross-functional teamsUndergraduate degree required, advanced technical degree in a STEM field preferredNice to HaveExperience working in financial services or regulated environmentsFamiliarity with causal inference, anomaly detection or agentsWho 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 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 moreAdditional 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 DevelopmentIf 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 ProcessWe’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.AccommodationYour 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