The role
From TD Bank's own posting.
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.
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 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
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 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 , 202 7 .
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