AI2 Applied Machine Learning Scientist (Graduate)

The Toronto-Dominion Bank (Canada); Toronto; On-site; CAD 89,000 - 120,000; Full time

Job summary

The Toronto-Dominion Bank (TD) is seeking a data science professional who will apply advanced machine learning methods to drive data-driven research and actionable recommendations. You will collaborate with business partners to optimize processes, prepare data sets, and build production-scale ML solutions integrated with business operations.

The role requires a graduate degree in Mathematics, Statistics, CS, Engineering, or Data Analytics, strong statistical skills, and experience with big data,

Qualifications

• Must be graduated between May 2025 and May 2027 with a graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
• Strong statistical and analytical skills as well as a passion for analytics are necessary.
• Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Familiarity with Big Data, ML, NLP, AI techniques; programming and data handling are essential.

Responsibilities

• 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.
• Prepare data sets for ML through integration, cleaning, feature engineering, scaling and transforming data.
• Build production-scale solutions and work with deployment teams to integrate in business operations.
• Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences.

Skills

Python

R

SQL

Spark

SAS

Java

C/C++

Data Visualization

Machine Learning

Statistical Analysis

Big Data

NLP

Generative AI

Leadership

Cloud Environments

Education

Graduate degree in Mathematics/Statistics/CS/Engineering/Data Analytics

Tools

Git

Job description

Role Type: Masters and Advanced Degrees

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Pay Details: 105000 - 105000 CAD

TD 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

• 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 data.
• Build production-scale solutions and work with deployment teams to integrate in business operations.
• Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences.

JOB REQUIREMENTS

• Must be graduated between May 2025and May 2027 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
• Strong statistical and analytical skills as well as a passion for analytics are necessary.
• Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Experienced in one or more of: Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation.
• Machine Learning – Predictive Analytics, Regression, Logit Modeling, Model development, Discrete Choice, Propensity Modeling, Natural Language Processing, Generative AI.
• Software Engineering – Code Quality, Version Control, 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 as well as experience 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 Science.

ADDITIONAL INFORMATION

Application Deadline: September 25th, 2026

Anticipated Start Date: July 5th, 2027 (pending academic completion)

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 arrangements. TD 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.

Hours Monday-Friday, standard business hours.

INCLUSIVENESS

At 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 Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Language Requirement (Quebec only)

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Our Values

At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.

Our Commitment to Diversity, Equity, and Inclusion

At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

Helping to Make an Impact in Communities – TD Ready Commitment

TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

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