Job Specifications
Role Type
Undergraduate
Work Location:
Toronto, Ontario, Canada
Hours
37.5
Pay Details
$80,000 - $80,000 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.
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: 1-year 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 AI2 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
Participate in projects supporting a broad range of data driven solutions by applying a variety of techniques to build out models. Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
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 2024 and May 2026 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
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 - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
Machine Learning - Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation
Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as experience with Data Management.
Strong technical knowledge and experience with at least one of: Python, Spark/PySpark, SQL, R, Java, C/C++, Alteryx or Tableau
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.
Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus.
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.
Experience with Data Management, Analytics, and Project Management is a plus.
Remain current with emerging trends and technologies in this field.
Additional Information
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