AI2 Data Science Associate at TD

TD; Toronto; On-site; CAD 72,000 - 88,000; Full time

Job summary

TD’s Data Science Associate program in Toronto, Ontario, is a full-time, on-site 18-month rotational opportunity designed to expose new graduates to a variety of analytics projects within the Analytics Insights & AI team. The role focuses on data queries, feature engineering, and developing data-driven solutions while collaborating with senior leaders and the Early Talent Experience team.

You will work across several rotations, gaining exposure to forecasting, optimization, pricing models, and

Qualifications

• Graduated in May 2025 to May 2027 with an undergraduate degree in Business, Management, and/or Data Analytics or related.
• Strong statistical and analytical skills and interest are necessary.
• Experience analyzing large data sets, drawing insights and communication outputs.

Responsibilities

• Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering.
• Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences.
• Participate in projects supporting data-driven solutions by applying various techniques to build models.
• Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data.
• Collaborate with team members and business partners to develop, test and deploy analytics solutions (e.g., forecasting, optimization, pricing).
• Proactively identify business problems and opportunities for data-driven solutions and develop proposals/approaches.
• Collaborate with business partners to support the business case development for analytics solutions.

Skills

Python

SQL

Spark / PySpark

R

Tableau

Machine Learning

Data Visualization

Azure

Big Data

Leadership

Education

Undergraduate degree in Business, Management, and/or Data Analytics or related

Tools

Alteryx

Tableau

Job description

AI2 Data Science Associate – TD – Toronto, Ontario, Canada.

This full‑time on‑site position offers great opportunities for career growth.

Position Details

• Role Type: Undergraduate
• Work Location: Toronto, Ontario, Canada
• Hours: 37.5
• Pay Details: 80,000 - 80,000 CAD
• Contract Type: Full‑time

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 Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

Associate Role Profile: Our Associates are full‑time employees participating in a n 18‑month rotational program (two nine‑month rotations) to gain exposure and experience to opportunities and to a variety of business areas within the Analytics Insights & AI team in‑depth experience, complemented by programming, coaching, tools and support .

As an Associate , you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9‑5. This includes leadership talks, lunch and learns, self‑development workshops, TD sponsored conferences, socials , team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada!

The Data Scientist Associate will perform a variety of activities, which may include:

• Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Participate in projects supporting a broad range of data driven solutions by applying a variety of techniques to build out models.
• Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
• Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
• Proactively identify 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

Must be graduated between May 2025 and May 2027 with an Undergraduate degree in Business, Management , and /or Data Analytics or related. Strong statistical and analytical skills and interest are necessary. Experience with analyzing large data sets , drawing insights and inferences, and communicating outputs . Experienced in one or more of: Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation , Data Visualizati on , S imulation Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discre te Choice , Propensity Modeling, Natural Language Processing. Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as e xperience with Data Management. Strong technical knowle dge and experience with at least one of: Python, Spark/ PySpark , SQL, R, Java, C/C++, Alteryx or Tableau Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem‑solving skills to add value to each initiative, project or team assigned to. Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Experience with Data Management, Analytics, and Project Management is a plus. Remain current with emerging trends and technologies in this field.

Additional Information

Anticipated Start Date: July 5 th , 2027 (pending academic completion).

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

HOURS Monday-Friday, standard business hours.

Inclusion

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.

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.

Additional Information (Career Support)

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

Language Requirement (Quebec only): Sans Objet