Role Type:
Masters and Advanced DegreesWork Location:
Toronto, Ontario, CanadaHours:
37.5Pay Details:
105000 - 105000 CAD
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:
DEPARTMENT OVERVIEW
Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.
Associate Role Profile: Our Associates are full-time employees participating in an 18-month rotational program (two nine-month rotations) to gain exposure and experience to opportunities and to a variety of business areas within the Analytics Insights & AI team in-depth experience, complemented by programming, coaching, tools and support.
As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada!
JOB DESCRIPTION
The Applied Machine Learning Scientist will perform a variety of activities, which may include:
Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
Build production-scale solutions and work with deployment teams to integrate in business operations
Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
JOB REQUIREMENTS
Must be graduated between May 2025 and December 2026 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
Strong statistical and analytical skills as well as a passion for analytics are necessary.
Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
Experienced in one or more of:
Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
Machine Learning – Predictive Analytics, Regression, Logit Modeling, Model development, Discrete Choice, Propensity Modeling, Natural Language Processing, Generative AI.
Software Engineering – Code Quality, Version Control, Object-Oriented Programming
Strong technical knowledge and experience with one or more of: Python, R, Spark, SQL, SAS, Java, or C/C++
Technical knowledge or experience with Cloud environments as well as experience with Data Management, and Project Management are a plus.
Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
Remain current with emerging trends and technologies in Data Science
ADDITIONAL INFORMATION
Application Deadline: September 25th 2026
Anticipated Start Date: January 4th, 2027 (pending academic completion)
Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
HOURS
Monday-Friday, standard business hours.
INCLUSIVENESS
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
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. 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 & 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.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans ObjetSkills Required
- Graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field
- Graduated or scheduled to graduate between May 2025 and December 2026
- Strong statistical and analytical skills
- Experience analyzing large datasets, drawing insights and inferences, and communicating outputs
- Experience with big data, data or text mining, optimization, algorithm development, automation, data visualization, or simulation
- Experience with machine learning, predictive analytics, regression, logit modeling, model development, discrete choice, propensity modeling, natural language processing, or generative AI
- Experience with software engineering, code quality, version control, or object-oriented programming
- Technical knowledge or experience with one or more of Python, R, Spark, SQL, SAS, Java, C, or C++
- Strong leadership, initiative, prioritization, communication, analytical, and problem-solving skills
- Ability to work as part of a team with targeted deliverables
- Knowledge or experience with cloud environments, data management, and project management
- Current knowledge of emerging trends and technologies in data science
TD Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TD Bank and has not been reviewed or approved by TD Bank.
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Parental & Family Support — Parental and family-building support is positioned as a standout, including 16 weeks of paid parental leave for all parents and assistance for fertility, surrogacy, donor support, adoption, and doula reimbursement. This breadth is framed as above average for large U.S. employers and notable within banking.
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Retirement Support — Retirement support is presented as robust, with 401(k) and employer funding described in detail in some summaries (fixed contribution plus additional matching) alongside other savings programs. Employee banking discounts and related financial perks add to the overall rewards value beyond salary.
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Healthcare Strength — Healthcare and mental well-being benefits are characterized as comprehensive, including multiple medical plan options, virtual care, and an Employee & Family Assistance Program with continuous access. These elements are repeatedly emphasized as core components of the Total Rewards offering.
TD Bank Insights
What We Do
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by branches & serves approximately 22 million customers in a number of locations in key financial centres around the globe. Over 85,000 TD employees represent the strongest team in banking. Delivering legendary customer experiences is who we are & is part of being the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.
Why Work With Us
