Td
Financial Services
DataScientistII,EnterprisePaymentsData&Analytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II, Enterprise Payments Data & Analytics at Td. Skills: Python, SQL, Analytics Solutions, Machine Learning. Design, build, deploy analytics solutions. Translate business problems into data assets”
What You'll Achieve.
Deliver measurable outcomes across operations, risk, and performance management; Support modernization, monitoring, optimization of payment processes; Enable end-to-end visibility into payment product performance; Strengthen governance; Drive data-driven decision making; Improve efficiency, resilience, client experience
Industry & Context.
Analytical thinking; Translate ambiguous business questions into structured analytical frameworks
What They're Looking For.
Must Have
Undergraduate degree in quantitative or technical discipline, 3+ years of hands-on experience in Data Science or Data Engineering roles, programming skills in Python and SQL, experience working with large and complex datasets, business acumen
Nice to Have
Azure Databricks is preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
deploy analytics solutions
Translate business problems into data assets
Deliver measurable outcomes
Develop scalable analytics solutions
Build curated datasets
Translate business questions into frameworks
Embed data quality checks
Communicate insights through dashboards
Improve analytics processes
Support risk and control culture
How You'll Work.
Team & Collaboration
Partner cross-functionally with business stakeholders; Partner with data engineering teams; Partner with enterprise analytics groups; Demonstrated experience working in cross-functional teams; Collaboration with business stakeholders; Collaboration with data engineers; Collaboration with technology partners
Communication Scope
Excellent communication and storytelling skills; Ability to influence decision-making through data
Full Job Description
**Work Location:** Toronto, Ontario, Canada **Hours:** 37.5 **Line of Business:** Analytics, Insights, & Artificial Intelligence **Pay Details:** $81,600 - $115,200 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 at TD. Our 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. **Job Description:** **Department Overview** The **Enterprise Payments Data & Analytics team** within AI2 (Analytics, Insights, and AI) is responsible for delivering data and insights that support the modernization, monitoring, and optimization of core payment processes across the bank. We partner closely with business and technology teams to enable end-to-end visibility into the performance of payment products, strengthen governance, and drive data-driven decision making through building scalable data pipelines and enterprise dashboards, enhancing operational monitoring and reporting, and supporting large-scale transformation programs to improve efficiency, resilience, and client experience across payment platforms. **Job Description:** The Data Scientist II, Enterprise Payments Data & Analytics, will design, build, and deploy analytics solutions across cloud-based platforms, translating complex business problems into production-ready data assets, insights, and automated analytics. This role combines strong technical expertise, analytical thinking, and business partnership to deliver measurable out
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