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Senior Applied Machine Learning Scientist, Predictive AI; B3617

Td

Utopia · On-site Full-time Senior CA$157k – CA$190k/yr Yesterday

About the role

Position

Senior Applied Machine Learning Scientist, Predictive AI (B3617)

Work Location

Toronto, Ontario, Canada

Hours

37.5

Line of Business

Analytics, Insights, & Artificial Intelligence

Pay Details

$156,500 - $190,000 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 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.

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.

Job Requirements

  • 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.

As the Senior AMLS, Predictive AI, Canadian Personal Banking AI2, you will specifically manage a team developing predictive AI for Regression, Classification and Anomaly Detection use cases. You and your team will also collaborate with Layer 6 to develop and evolve the suite of TD AI Prism foundational model.

Models in scope cover the whole range of CPB verticals: RESL, Distribution, Credit Cards and Personal Lending, as well as Checking Savings and Investing.

Qualification

  • Undergraduate degree required; advanced technical degree preferred (e.g., Mathematics, Physics, Engineering, Finance, Computer Science).
  • Minimum 5+ 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 AI.

Description du poste – Aperçu du département

Que signifient TD Analytics, Insights et Intelligence Artificielle ? Pour commencer, nous croyons en un leadership visionnaire et en des perspicaces.

Nous croyons en les talents que nous développons pour mieux servir nos clients, et nous savons que de nombreuses découvertes et produits révolutionnaires qui représentent l'avenir chez TD peuvent tous être portés par des données, avec un fort accent sur l'IA.

Exigences du poste

  • Gérer, encadrer et développer une équipe de scientifiques en apprentissage automatique appliqué, favorisant un environnement de travail collaboratif et innovant.
  • Direction de la…

Requirements

  • 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 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.

Skills

AIAI/MLMachine Learning

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