Role Type:
Internship/Co-op
Work Term:
Fall/Term 1
Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Pay Details:
$45,700 - $74,400 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
Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.
Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:
- Engage in interactive sessions with key leaders across TD, gaining valuable insights into leadership and the organization’s vision.
- Participate inlearning sessionsfocused on innovation, personal branding,andfostering professional and personal growth.
- Join a supportive community of students and professionals, expanding your network and building the skills needed for a thriving career in analytics and AI.
We want our co-ops and interns to have the TD and AI2 experience (Analytics Insights & Artificial Intelligence), where we develop talent, help build great careers and do what it takes to make our clients' lives easier! The goal for our co-ops and interns is that they can have a meaningful experience while growing their skills and gaining new perspectives. Chosen candidates will have the chance to learn and develop their competencies and build great careers.
JOB DESCRIPTION
Responsible for interpreting data, producing insights, creating relevant collateral/ data visualization reports, and recommending actions on complex issues to support business needs. You will perform a variety of activities, which may include:
- Perform Python/SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineeringwith best practices.
- Analyze large, spatially enabled data sets andidentifytrends and insights to inform business decisions; communicate findings to technical and non-technical audiences.
- Support team members and business partners to develop,testand deploymachine learning models, for example: forecasting, optimization, orclassification/regressionmodels.
- Proactivelyidentifyand solve business problems and opportunities where a data-driven solution would beappropriateand develop proposals / approaches
- Collaborate with business partners to support the business case development process for analytics solutions
JOB REQUIREMENTS
- Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics,Business/Commerceor related fieldwith the intent of going back to school at the start of your work term.
- Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term
- Strong statistical and analytical skills and interest are necessary.
- Strongproficiencyin one ormorePython, SQL, or other data-related programming languages.
- Strongproficiencyin Object-Oriented Programming.
- Knowledge in spatially enabled data, geospatial processing tools/platforms
- Knowledge in one or more Azure, R, AWS, Databricks andGithubis a plus
- Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
ADDITIONAL INFORMATION
- This position is a 4-month work term and willcommenceSeptember 8–December18, 2026.
- 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 toresidein the country where the role islocated, irrespective of remote working arrangements.
- TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to c