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Data Scientist II

Job in Toronto, Ontario, C6A, Canada
Listing for: TD Securities
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 81600 - 115200 CAD Yearly CAD 81600.00 115200.00 YEAR
Job Description & How to Apply Below

Line Of Business

Analytics, Insights, & Artificial Intelligence

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details: $81,600 - $115,200 CAD

Job Description

We are looking for a Data Scientist to deliver comprehensive end-to-end analysis that supports CPB Digital Servicing. This role involves exploring and understanding data, gathering and documenting requirements, analyzing datasets, and presenting clear, actionable insights in a manner accessible to business stakeholders. As a key member of the team, you will serve as a bridge between business and technology groups, ensuring effective communication and collaboration to leverage data-driven solutions and drive informed decision making.

Department

Overview

TD’s Analytics, Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers. The Canadian Personal Banking (CPB) AI2 team supports the day-to-day activities of the CPB businesses, working with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions.

We enable and empower customers to use digital channels for servicing needs, and along with caring colleagues and supportive leaders, you’ll have opportunities to grow and make a meaningful difference to our customers, our communities and our business.

Key Responsibilities
  • Data Analysis & Insights:
    Analyze data and provide performance insights on initiatives, using various statistical & analytical techniques including but not limited to A/B testing.
  • Coding & Automation:
    Use Python, Pyspark, SQL to automate reporting processes, improving efficiency and accuracy.
  • Collaboration:

    Partner with business partners, product owners, business management specialists and technology partners.
  • Presentation & Storytelling:
    Develop and maintain analysis reports/dashboards/presentations and communicate insights effectively to multiple business partners; technical or non-technical – verbally/written.
The Ideal Candidate Will Have Experience
  • Working with large datasets; experience with financial products is strongly preferred.
  • Using multiple analytics techniques to support the business strategy.
  • Creating strong partnership with business partners.
  • Demonstrating critical thinking and structured problem-solving skills.
  • Optional – Experience working on AI products and applications.
Job Requirements
  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science). Graduate’s degree preferred, with progressive project work experience.
  • 3+ years of relevant experience; higher degree education and research tenure can be counted.
Technical Skills
  • Coding:
    Proficiency in Python (PySpark, Pandas, Num Py, Scikit-learn) and SQL (writing complex queries, stored procedures, data extraction).
  • Proficiency with version control – using Github and Visual Studio Code.
  • Data Visualization:
    Experience with Power BI and Tableau reporting.
  • Experience with cloud-based data platforms (Azure etc.).
  • Adobe Analytics and Digital Analytics experience are an asset.
  • Data Handling:
    Experience working with large and complex datasets, often requiring data cleansing.
  • Analytical/Data Consultant:
    Requires strong understanding of data structures and ability to connect technical data elements with business definitions.
Soft Skills
  • Effective communication – ability to communicate findings with business partners and executives.
  • Strong analytical mindset.
  • Strong oral & written communication skills.
  • Problem-solving abilities.
  • Data Storytelling – Ability to translate data insights into business recommendations.
  • Comfortable in a team environment with changing priorities.
  • Ability to multi-task and work independently in a fast‑paced, dynamic environment.

Workplace Model for this position:
Office Focused

Who We Are

TD is one of the world's leading global financial institutions and is the…

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