Senior Applied Machine Learning Scientist (B3617)

Senior Applied Machine Learning Scientist (B3617) Location: Toronto, Ontario, Canada

Hours: 37.5

Line Of Business: Analytics, Insights, & Artificial Intelligence

Pay Details: $136,000 - $183,500 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. The base pay actually offered may vary based on 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:

What does TD Analytics, Insights and Artificial Intelligence stand for? For starters, we believe in visionary leadership and insights. We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data, with a strong focus on AI.

Responsibilities

Managing, mentoring, and developing a team of applied machine learning scientists, fostering a collaborative and innovative work environment.

Leading the conceptualization, design, and delivery of AI/ML systems to solve complex business and enterprise-wide problems.

Providing thought leadership and developing innovative methodologies and techniques in AI/ML.

Collaborating with cross-functional teams including Machine Learning Engineers and research scientists, data scientists, and business stakeholders to build and implement cutting-edge analytic solutions.

Translating business objectives into scalable technical solutions and delivering enterprise-level insights.

Acting as a business partner to guide and prioritize strategic initiatives and analytical needs.

Driving continuous improvement through monitoring systems, feedback loops, and trend analysis.

Ensuring compliance with internal and external governance, risk, and regulatory requirements.

Championing a culture of excellence, inclusion, and continuous learning within the team.

Qualifications

Undergraduate degree required; advanced technical degree preferred (e.g., Mathematics, Physics, Engineering, Finance, Computer Science).

Minimum of 3+ years of relevant experience, including post-graduate work in AI/ML or related fields.

Proven experience in leading and managing technical teams, with a focus on mentorship and performance development.

Deep expertise in AI/ML frameworks, tools, and methodologies.

Strong strategic planning, communication, and stakeholder engagement skills.

Extensive understanding of business operations and enterprise-level analytics.

Experience working with large-scale data systems and advanced machine learning techniques.

Demonstrated ability to provide specialized knowledge and guidance across multiple domains of machine learning.

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. We deliver customer experiences to millions and are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

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. It includes a base salary, variable compensation, and benefits such as health and well-being programs, retirement plans, paid time off, and more.

Additional Information The job opportunity is subject to provincial regulation for employment purposes. Each province or territory may have its own regulations.

Colleague Development You\\\ll have regular career development and performance conversations, access to online learning, and mentoring programs to help you unlock future opportunities.

Interview Process We\'ll reach out to candidates of interest to schedule an interview and aim to communicate outcomes by email or phone.

Accommodation Your accessibility is important. Please let us know if you would like accommodations to help participate throughout the interview process.

We look forward to hearing from you!

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