Role Type: Masters and Advanced Degrees

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Pay Details: 95000 - 95000 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 participating in an 18 -mont h 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

- 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

JOB REQUIREMENTS

- Must be graduated between May 2025 and May 2027 with a G raduate 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, Logit Modeling, Discreet Choice, Simulation, Propensity Modeling.
- Machine Learning - Data/Text Mining, Programming, Algorithm Development, Automation Data Visualization, Natural Language Processing.
- Robust 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.

ADDITIONAL INFORMATION

- Application Deadline: September 25th, 2026
- Anticipated Start Date: July 5th, 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 providi

📌 Data Science Associate (Toronto)
🏢 TD
📍 Toronto