- 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 innovative 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
- Solid 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

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