Data Scientist III

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Department Overview: Within CPB (Canadian Personal Banking), the AI2 (Analytics, Insights and Artificial Intelligence) team supports the day-to-day activities of the CPB businesses by providing consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning.  We work with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions. 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.

We are seeking a Data Scientist who will part of our Customer Strategy POD by leading out end to end analysis of customer transaction and engagement trends to support key CPB initiatives.  This includes data exploration, requirements gathering, documentation and presenting findings in business-friendly language. This role is part of a new POD being stood up to support the overall CPB Customer Relationship Deepening and Engagement business partners. Some of the key responsibilities of this role include the following, Data Analysis & Insights : Analyze customer interaction and transaction data to understand key trends and behaviors. Coding & visualization : Use SQL, Python, PySpark and PowerBI for analysis and visualization to generate key insights that will inform Customer Strategies and support report builds. Collaboration : Collaborate with Customer Strategy Deepening and Engagement business partners to help identify opportunities and provide insights and analysis on high level CPB initiatives. The ideal candidate will have experience: Working with various and large datasets, prefer candidate have experience with CPB data/products Using multiple analytics techniques to support the business strategy. Creating strong partnership with business partners. Demonstrating critical thinking and structured problem-solving skills Required Qualifications & Skills Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate's degree preferred with either progressive project work experience 4+ year of relevant experience; higher degree education and research tenure can be counted. Technical Skills: Coding: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (writing complex queries, stored procedures, data extraction). Data Visualization: Experience with Power BI reporting. Experience with cloud-based data platforms (Azure etc.) Data Handling: Experience working with large datasets and transactional records. Soft Skills: Strong analytical mindset Strong oral & written communication skills Problem-solving abilities 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  Who We Are: TD is one of the world's leading global financial institutions and is the fifth