Full Stack Data Science Engineering Specialist
Description
Join the Analytics, Insights, & Artificial Intelligence team at TD Bank to lead end-to-end performance diagnostics, translate data into actionable insights, and design scalable analytics solutions. This role involves developing and implementing AI/ML tools, creating compelling data visualizations, and driving the adoption of advanced analytics across the organization. The specialist will collaborate with business leaders, data scientists, engineers, and IT partners, providing mentorship and identifying emerging analytical trends to improve scalable solutions.
What We're Looking For
Lead end-to-end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.,Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling.,Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models.,Investigate, evaluate, and implement AI/ML tools and algorithms to solve complex business problems.,Develop compelling visualizations and data stories tailored to technical and non-technical audiences.,Partner with business owners to drive advanced analytics and AI/ML adoption.,Lead cross-functional collaboration with data scientists, engineers, IT partners, and business process owners.,Provide subject-matter expertise, mentorship, and guidance on advanced analytics and AI/ML methodologies.,Identify emerging analytical trends and data needs to improve repeatable and scalable solutions.,Strong business acumen in financial services/retail banking.,Demonstrated comfort engaging with senior executives and C-suite stakeholders.,Applied analytics expertise with a proactive mindset.,Experience with ML/AI model lifecycle, including building or modifying models.,Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models.,Solid cloud experience with Azure or AWS and cloud AI/ML services (Databricks, Kubernetes, Docker, Azure Machine Learning, Azure Data Factory).,Proficient in creating clear, compelling dashboards and data stories.,Confident working with structured and unstructured data, ensuring usability, cleanliness, and reliability.,Able to build or modify data pipelines or analytical assets.
Ideal Candidate
A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance, Actuarial Science).,10 years of relevant experience in advanced analytics, data science, or applied AI/ML in domains such as financial services, technology, consulting, or similar industries.
Minimum Education
Graduate or Undergraduate Degree (quantitative or analytics-focused discipline)
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
About the Company
The Toronto-Dominion Bank
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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