AI2 Applied Machine Learning Scientist (Graduate)

Socket.dev; Toronto; On-site; CAD 95,000 - 116,000; Full time

Benefits offered by this job

Mentorship

Leadership talks

Workshops

Conferences

Job summary

TD is seeking an Applied Machine Learning Scientist for its Associate program in Toronto, Ontario. This 18-month rotation offers exposure to Analytics Insights & AI with mentorship, coaching, and a community of peers across Canada.

You will work on data-driven research, collaborative projects, and production-scale ML solutions within a supportive learning environment. Graduates between May 2025 and December 2026 in Computer Science, Math, Stats or related fields are encouraged to apply.

Qualifications

• Must have graduated between May 2025 and December 2026 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
• Strong statistical and analytical skills and a passion for analytics.
• Experience with analyzing large data sets and communicating outputs.
• Knowledge of Big Data, Data Visualization, and Machine Learning concepts.
• Proficiency in one or more programming languages listed above.

Responsibilities

• Apply advanced machine learning methods to conduct data-driven research and make recommendations to senior management.
• Collaborate with business partners to identify opportunities for optimization and create innovative solutions.
• Prepare data sets for ML through integration, cleaning, feature engineering, and transformation.
• Build production-scale solutions and coordinate with deployment teams.
• Use visualization methods to communicate results to technical and non-technical audiences.

Skills

Statistical analysis

Data analysis

Leadership

Team collaboration

Programming

Communication

Problem solving

Education

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

Tools

Python

R

Spark

SQL

SAS

Java

C/C++

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:

DEPARTMENT OVERVIEW

Our 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 an 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 DESCRIPTION

The 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 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 December 2026 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: January 4th, 2027 (pending academic completion)
• 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

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet