Role Type:Masters and Advanced DegreesWork Location:Toronto, Ontario, CanadaHours:37.5Pay Details: - CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.Job Description:DEPARTMENT OVERVIEWOur 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 a n 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 DESCRIPTIONThe Applied Machine Learning Scientist will perform a variety of activities,



which may include:Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming dataBuild production-scale solutions and work with deployment teams to integrate in business operationsLeverage visualization methods to represent results and communicate outcomes to technical and non-technical audiencesJOB REQUIREMENTSMust be graduated between May 2025 and December 2026 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.Solid statistical and analytical skills as well as a passion for analytics are necessary.Experience with analyzing large data sets, drawing in sights and inferences, and communicating outputs .Experienced in one or more of:Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualizati on, S imulationMachine Learning – Predictive Analytics, Regression, Logit Modeling, Model development, Discre te Choice, Propensity Modeling, Natural Language Processing, Generative AI.Software Engineering – Code Quality, Version Control, Object-Oriented ProgrammingStrong technical knowle dge and experience with one or more of: Python, R, Spark, SQL, SAS, Java,



or C/C++Technical knowledge or experience with Cloud environments as well as e xperience with Data Management, and Project Management are a plus.Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong 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 Data ScienceADDITIONAL INFORMATIONApplication Deadline: September 25th 2026Anticipated Start Date: January 4th, 2027 (pending academic completion)Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.TD requires employees to reside in the country where the role is located, irrespective of remote working arrangementsTD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.HOURSMonday-Friday, standard business hours .INCLUSIVENESSAt 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 accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.Who We AreTD is one of the world's leading global financial institutions and is the fifth largest

📌 Ai2 Applied Machine Learning Scientist (Graduate) (Toronto)
🏢 TD
📍 Toronto