Senior Applied Machine Learning Scientist (predictive analytics)
Role Overview
The role is in Analytics, Insights, and Artificial Intelligence.
The Senior Applied Machine Learning Scientist leads an AI/ML team and provides technical leadership across the AI function.
The role focuses on predictive AI for regression, classification, and anomaly detection in Canadian Personal Banking.
Key Skills for This Role
Full Job Posting
Work location and schedule
- Work location is Toronto, Ontario, Canada.
- The listed hours are 37.5; no work arrangement is specified.
Pay details
- Listed pay range is CAD 156,500–190,000; the description does not specify a compensation period.
Department and role
The role is in Analytics, Insights, and Artificial Intelligence.
The Senior Applied Machine Learning Scientist leads an AI/ML team and provides technical leadership across the AI function.
The role focuses on predictive AI for regression, classification, and anomaly detection in Canadian Personal Banking.
Key responsibilities
- Manage, mentor, and develop applied machine learning scientists.
- Lead design and delivery of AI/ML systems for complex enterprise problems and develop innovative methodologies.
- Collaborate with engineering, research, data science, and business teams to implement analytic solutions.
- Translate business objectives into scalable technical solutions and enterprise insights.
- Guide strategic initiatives and analytical priorities as a business partner.
- Drive improvement through monitoring, feedback loops, and trend analysis.
- Ensure governance, risk, and regulatory compliance.
- Collaborate with Layer 6 on the TD AI Prism foundational model suite.
- Support models across RESL, distribution, credit cards, personal lending, checking, savings, and investing.
Qualifications
- Undergraduate degree required; an advanced technical degree is preferred, with examples including Mathematics, Physics, Engineering, Finance, or Computer Science.
- At least five years of relevant experience, including postgraduate work in AI/ML or related fields.
- Proven experience leading and managing technical teams, with 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.
- Ability to provide specialized knowledge and guidance across multiple AI domains.
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