AI2 Applied Machine Learning Scientist Co-op (WINTER 2027)

TD; Toronto; Hybrid; CAD 46,000 - 74,000; Full time

Job summary

TD in Toronto, Ontario is offering a Winter Co-op internship in Analytics & AI. You will perform Python/SQL data queries, clean data, and support modelling on real datasets, while learning from experienced colleagues in a collaborative environment.

This 4-month term runs January 4 – April 23, 2027, with hybrid work and 37.5 hours per week. You must be enrolled in a graduate program (CS/Math/Engineering/Science/Data Analytics) and return to school afterward.

Qualifications

• Enrolled in a graduate degree and returning to school after term.
• Strong Python/SQL skills and knowledge of OOP.
• Analytical mindset with good communication abilities.

Responsibilities

• Perform Python/SQL data queries and support datasets for analysis and modelling.
• Analyze large spatial datasets to identify trends and insights.
• Support development and deployment of analytics models (forecasting, classification).
• Collaborate with partners to frame analytics solutions and business cases.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Python

SQL

Object-Oriented Programming

Spatial data

Azure

AWS

Databricks

GitHub

Education

Graduate degree (CS/Math/Engineering/Science/Data Analytics)

Tools

Azure

R

AWS

Databricks

Job description

Role Type: Internship/Co-op

Work Term: Winter/Term 2

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.

Co-op/Intern Programming

• Engage in interactive sessions with key leaders across TD, gaining valuable insights into leadership and the organization's vision.
• Participate in learning sessions focused on innovation, personal branding, and fostering 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

• 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
• Strong 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.

HOURS

Monday-Friday, standard business hours

Hybrid (four days in office per week)

INCLUSIVENESS

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

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

• Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:

We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process

We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

Language Requirement (Quebec only):

Sans Objet