Role Type

Internship/Co-op

Work Term

Winter/Term 2

Work Location

Toronto, Ontario, Canada

Hours

37.5

Monday-Friday, standard

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.

- Perform Python/SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering with best practices.
- Analyze large, spatially enabled data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences.
- Support team members and business partners to develop, test and deploy machine learning models, for example: forecasting, optimization, or classification/regression models.
- Proactively identify and solve 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

- Currently enrolled in either a recognized graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics, Business/Commerce or related field with the intent of going back to school at the start of your work term.
- Must be enrolled in a graduate degree with the intent of going back to school at the start of your work term.
- Solid statistical and analytical skills and interest are necessary.
- Strong proficiency in one or more Python, SQL, or other data-related programming languages.
- Strong proficiency in Object-Oriented Programming.
- Knowledge in spatially enabled data, geospatial processing tools/platforms
- Knowledge in one or more Azure, R, AWS, Databricks and Github is 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 will commence January 4 - April 23, 2027.

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 and internship in these unique circumstances. As such, work location and start dates are subject to change.

📌 Applied Machine Learning Scientist Co-op (WINTER 2027) (Toronto)
🏢 TD Bank
📍 Toronto