# Data Scientist II at TD Bank

TD Bank is hiring a Data Scientist II in Toronto, Canada. Level rates it Uses AI ●●○○; you can [apply on Level](https://jobsbylevel.com/go/6f7f74c4-12b8-4bed-a7af-99c4ee71b8bc?utm_medium=ai-agent).

AI Level 2, AI centrality 44 out of 100. Toronto, Ontario.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 2 (score 44 out of 100)
- Location: Toronto, Ontario
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/6f7f74c4-12b8-4bed-a7af-99c4ee71b8bc?utm_medium=ai-agent

## 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: We are seeking motivated and curious Data Scientists to join the CPB AI2 Operations team . These roles offer the opportunity to solve complex business problems through advanced analytics and AI. The successful candidates will lead analytical initiatives from business problem definition and data acquisition through analysis, modelling, visualization, stakeholder presentation, and implementation. They will work closely with operations business, risk and governance, and technology partners to translate business needs into scalable and actionable analytics and AI solutions. The team is hiring for two positions at the same level, with opportunities spanning two complementary areas: AI Delivery and Advanced Analytics: Supporting major agentic AI development projects, productivity analytics, colleague performance assessments, and the delivery and adoption of AI & analytics solutions. Forecasting and Predictive Analytics: Developing forecasting, regression, and time-series solutions that support capacity planning, operational decision-making, and performance management. Candidates are not expected to be experts in every area. Responsibilities will be aligned based on the successful candidates’ experience, technical strengths, and areas of interest. Key Responsibilities include: Translate business problems into practical analytics, forecasting, machine learning, or AI solutions. Analyze large and complex datasets to identify trends, performance drivers, and operational opportunities. Develop and maintain time-series, regression, statistical, and predictive models. Use Python, PySpark, and SQL to extract, transform, validate, and analyze data. Automate analytical and reporting processes to improve efficiency and accuracy. Develop dashboards, visualizations, reports, and presentations using Power BI, Tableau, or similar tools. Communicate analytical methods, insights, and recommendations clearly to technical and non-technical stakeholders. Partner with Operations leaders, product owners, analysts, data engineers, and technology teams to deliver solutions from concept through implementation. Contribute to major agentic AI initiatives and explore new applications of AI across CPB Operations. Help business partners and team members understand, adopt, and effectively use new analytics and AI capabilities. What We Are Looking For We are looking for someone who is motivated, curious, and passionate about experimenting with new technologies, particularly AI and agentic AI. The successful candidate will be interested not only in developing new capabilities, but also in helping colleagues and business partners understand and adopt them. You should be comfortable working independently, collaborating across teams, explaining complex concepts clearly, and connecting technical work to measurable business outcomes. Required Qualifications and Skills Undergraduate or advanced degree in mathematics, statistics, engineering, finance, economics, computer science, data science, or a related field. Three or more years of relevant professional, project, or research experience. Proficiency

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-scientist-ii-at-td-bank-12e2a5

Source: https://jobsbylevel.com/jobs/data-scientist-ii-at-td-bank-12e2a5

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