Participate in TD’s 18-month rotational associate program across the Analytics Insights & AI team
Apply advanced machine learning methods to conduct data-driven research
Identify opportunities and make tangible recommendations to senior management
Collaborate with business partners to optimize processes and support informed decision-making
Build cutting-edge machine learning solutions
Prepare structured and unstructured datasets through integration, cleaning, feature engineering, scaling, and transformation
Build production-scale solutions and work with deployment teams to integrate them into business operations
Use visualization methods to represent results and communicate outcomes to technical and non-technical audiences
Work on initiatives that improve decisions, processes, systems, and applications supporting TD’s businesses
Requirements Must have graduated or be graduating between May 2025 and May 2027
Graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field
Strong statistical and analytical skills and passion for analytics
Experience analyzing large data sets, drawing insights and inferences, and communicating outputs
Experience in one or more of Big Data, programming, data/text mining, optimization, algorithm development, automation, data visualization, or simulation
Experience in one or more of machine learning, predictive analytics, regression, logit modeling, model development, discrete choice, propensity modeling, natural language processing, or generative AI
Experience in one or more of software engineering, code quality, version control, or object-oriented programming




Strong technical knowledge and experience with one or more of Python, R, Spark, SQL, SAS, Java, or C/C++
Technical knowledge or experience with cloud environments, data management, and project management is a plus
Strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills
Ability to participate as part of a team with targeted deliverables
Ability to remain current with emerging trends and technologies in Data Science
Must reside in Canada, the country where the role is located
Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum two pages
Core Competencies Demonstrates expertise in advanced machine learning methods, data analysis, and visualization techniques to drive data-driven decision-making. Proficient in programming languages and tools essential for building and deploying production-scale machine learning solutions.
Highest-signal resume keywords Machine Learning
Data Analysis
Python
Data Visualization
Statistical Modeling
Hard Skills Machine Learning
Data Analysis
Data Visualization
Statistical Modeling
Feature Engineering
Big Data
Predictive Analytics
Regression
Natural Language Processing
Software Engineering
Soft Skills Leadership
Communication
Problem-Solving
Team Collaboration
Initiative
Industry Keywords Data Science
Analytics
AI
Data-Driven Research
Optimization
Algorithm Development
Automation
Simulation
Feature Engineering
Emerging Technologies
Tools & Technologies Python
R
Spark
SQL
SAS
Java
C/C++
Cloud Environments
Data Management
Project Management

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📌 Applied Machine Learning Scientist, Graduate (Ontario)
🏢 Jobtailor
📍 Ontario