AI2 Applied Machine Learning Scientist Co-opIntern (FALL 2026)

DEPARTMENT OVERVIEW

Co-op and Internship opportunities allow you to gain valuable work experience acrossa number ofthe businessesat 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 asindividualand experience our culture of care.

OurCo-op/Intern Programmingis offered with select Co-op and Internship roles and is designed to helpyou betterunderstand 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 organizations vision.

• Participate inlearning sessionsfocused on innovation personal brandingandfostering 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 ourco-ops andinterns to havetheTDandAI2experience(AnalyticsInsights&Artificial Intelligence) where we develop talent help build greatcareersand do what it takes to make ourclients lives easier! The goal for ourco-ops andinterns is that theycanhave a meaningfulexperiencewhile 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 interpretingdata 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 developtestand 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 AnalyticsBusiness/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 8December18 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 change.

HOURS

Monday-Friday standard business hours

INCLUSIVENESS

At TD we are committed to fostering an inclusive accessible environment where all employees and customers feel valuedrespectedand 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.