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 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 Solid 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 (Winnipeg)
🏢 Jobtailor
📍 Winnipeg