Type de rôle: Masters and Advanced Degrees Lieu de travail: Toronto, Ontario, Canada Horaire: 37.5 Détails de la rémunération: 95000 - 95000 CAD

La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise. En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.

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 an 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

JOB DESCRIPTION

- 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
- 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 2025and May 2027 with a Graduate degree in Business, Management, and/or Data Analytics or related.
- At least 2 years of professional experience; which can include work terms during your completion of studies.




- 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–Predictive Analytics, Optimization, Regression, Logit Modeling, Discreet Choice, Simulation, Propensity Modeling. Machine Learning– Data/Text Mining, Programming, Algorithm Development, Automation Data Visualization, Natural Language Processing.
- Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++ Technical knowledge or experience with Spark and Cloud.
- Experience with Data Management, and Project Management is a plus.
- Must have strong leadership qualities including demonstrating initiative, establishing priorities and using solid communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
- 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.
- Remain current with emerging trends and technologies in this field.

ADDITIONAL INFORMATION

Application Deadline: September25th,2026 Anticipated Start Date: July5th,2027 (pending academic completion)

HOURS

Monday-Friday, standard business hours.

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 accommodat

📌 Data Science Associate (Toronto)
🏢 TD Bank Group
📍 Toronto