Td

Financial Services

DataScientistII,EnterprisePaymentsData&Analytics

$82–115k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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