Senior Applied Machine Learning Scientist, Predictive Analytics

Posted 13 hours ago

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About the role

  • Senior machine learning scientist leading predictive AI teams at TD, a major Canadian bank. Developing regression, classification, and anomaly detection models for personal banking.

Responsibilities

  • Manage, mentor, and develop a team of applied machine learning scientists
  • Lead the conceptualization, design, and delivery of AI/ML systems for complex business and enterprise-wide problems
  • Provide thought leadership and develop innovative AI/ML methodologies and techniques
  • Collaborate with Machine Learning Engineers, research scientists, data scientists, and business stakeholders
  • Translate business objectives into scalable technical solutions and deliver enterprise-level insights
  • Guide and prioritize strategic initiatives and analytical needs as a business partner
  • Drive continuous improvement through monitoring systems, feedback loops, and trend analysis
  • Ensure compliance with internal and external governance, risk, and regulatory requirements
  • Champion excellence, inclusion, and continuous learning within the team
  • Manage a team developing predictive AI for regression, classification, and anomaly detection use cases
  • Collaborate with Layer 6 to develop and evolve the TD AI Prism foundational model suite
  • Oversee models spanning Canadian Personal Banking verticals including RESL, Distribution, Credit Cards, Personal Lending, Checking, Savings, and Investing

Requirements

  • Undergraduate degree required
  • Advanced technical degree preferred, e.g., Mathematics, Physics, Engineering, Finance, or Computer Science
  • Minimum 5+ years of relevant experience, including post-graduate work in AI/ML or related fields
  • Proven experience 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 with large-scale data systems and advanced machine learning techniques
  • Demonstrated ability to provide specialized knowledge and guidance across multiple AI domains
  • For Quebec roles: proficiency in a language other than French to support or interact with employees requiring services in another language

Benefits

  • Base salary
  • Variable compensation
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off
  • Banking benefits and discounts
  • Career development
  • Reward and recognition programs
  • Regular development conversations
  • Training programs
  • Online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Interview accommodations, including accessible meeting rooms and captioning for virtual interviews

Job type

Full Time

Experience level

Senior

Salary

CA$156,500 - CA$190,000 per year

Degree requirement

Bachelor's Degree

Location requirements

OnsiteTorontoCanada

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