Machine Learning Engineer jobs in Canada

Role Type: Masters and Advanced Degrees

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Pay Details: $95,000 - $95,000 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.

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 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!

The Data Scientist Associate will perform a variety of activities, which may include:

• Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
• Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
• Collaborate with business partners to support the business case development process for analytics solutions

• Must be graduated between May 2024 and May 2026 with a Graduate degree in Business, Management, and/or Data Analytics or related.
• At least 2 years of professional experience; which can include work terms during your completion of studies.
• Strong statistical and analytical skills and interest are necessary.
• Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Experienced in one or more of:
  • Big Data - Predictive Analytics, Optimization, Regression, Discreet Choice, Simulation, Propensity Modeling.
  • Machine Learning - Data/Text Mining, Programming, Algorithm Development, Automation Data Visualization, Natural Language Processing.
• Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++
• Technical knowledge or experience with Spark and Cloud. Experience with Data Management, and Project Management is 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 this field.

• Application Deadline: September 26th, 2025
• Anticipated Start Date: July 6th, 2026 (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.

Monday-Friday, standard business hours.

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.

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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you\'ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we\'re here to support you towards your goals. As an organization, we keep growing - and so will you.

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

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.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we\'re committed to helping you identify opportunities that support your goals.

We will provide training and onboarding sessions to ensure that you\'ve got everything you need to succeed in your new role.

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.

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