Applied Machine Learning Scientist, Graduate

Jobtailor; Toronto; On-site; CAD 70,000 - 95,000; Full time

Job summary

TD Bank seeks a highly analytical graduate to join its Analytics Insights & AI team through an 18-month rotational associate program in Toronto. You will apply advanced machine learning to conduct data-driven research and identify improvement opportunities for senior management.

Collaborating with business partners, you will optimize processes, build production-scale ML solutions, and prepare structured datasets for deployment.

Qualifications

• Graduation 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 or experience with cloud environments, data management, and project management is a plus.
• Strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills.

Responsibilities

• 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

Skills

Machine Learning

Data Analysis

Python

Data Visualization

Statistical Modeling

Big Data

Predictive Analytics

Natural Language Processing

Software Engineering

Cloud Environments

Education

Graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field

Tools

Python

R

Spark

SQL

SAS

Java

C/C++

Cloud Environments

Data Management

Project Management

Job description

• 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
• 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