Analytics, Insights, & Artificial Intelligence Analytics, Insights, & Artificial Intelligence 81,600
- $115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. 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. Help shape the next generation of Finance analytics and AI at TD. Join Finance AI2 to turn complex financial data into actionable insights and build responsible, scalable AI and analytics solutions that help Finance teams make informed decisions. You will work with Finance business partners, TD Data teams, and technology stakeholders to identify high-value opportunities and translate them into trusted solutions. As a Data Scientist, you will help design, develop, test, and operationalize generative AI, Copilot, and agentic solutions for Finance. The role combines AI solution development, prompt and context engineering, data preparation, evaluation, business insight, and stakeholder adoption. You will also contribute to the support and modernization of existing analytics workflows as the team transitions toward strategic platforms and reusable AI capabilities. Partner with Finance stakeholders to understand business challenges, identify high-value opportunities, and translate impactful questions into practical analytics and AI solutions. Identify Finance use cases where generative AI, Copilot, or agentic solutions can improve decision-making, productivity, or user experience. Design, prototype, test, and operationalize AI-powered solutions using approved enterprise platforms and trusted data sources. Define and apply evaluation methods for solution quality, accuracy, reliability, business relevance, and user adoption.



Prepare semantic models, metadata, and data foundations required for reliable AI and Copilot experiences. Partner with business, TD Data, technology, risk, and governance stakeholders to move solutions from concept through controlled implementation Monitor deployed solutions, investigate issues, incorporate user feedback, and continuously improve performance Analyze complex datasets and use effective data visualization and storytelling to communicate insights, implications, and recommendations. Collaborate across analytics, data, technology, and business teams to deliver sustainable solutions and strengthen knowledge-sharing. 3+ years of relevant experience in data science, advanced analytics, AI engineering, machine learning, or a related field. ~ Hands-on experience designing or developing generative AI, Copilot, or agentic solutions that address business problems. ~ Strong Python or PySpark and SQL skills for data preparation, solution development, integration, testing, and analysis. ~ Experience with prompt engineering, context design, retrieval or grounding techniques, and evaluation of AI-generated outputs. ~ Experience integrating AI solutions with enterprise data, APIs, tools, workflows, or analytics products. ~ Understanding of responsible AI, privacy, security, model risk, human oversight, and controlled deployment.



~ Experience analyzing complex datasets and translating technical findings into actionable business recommendations and data-driven decisions. ~ Strong business acumen, experimentation, problem-solving, data storytelling, communication, and stakeholder-management skills. ~ Ability to independently own assignments from problem definition through implementation, validation, operationalization, and handoff. ~ Undergraduate degree in computer science, engineering, mathematics, statistics, finance, or a related field, or equivalent practical experience. ~ Experience with Databricks, Microsoft Copilot, Copilot Studio, Power BI, semantic models, or comparable AI and data platforms is considered a strong asset. ~ Finance, accounting, banking, or broader financial-services experience is considered a robust asset. ~ Experience with Alteryx development, production support, or workflow modernization is considered a strong asset. Work independently within a specialized analytics function and provide technical guidance where required. Apply technical expertise and business acumen to complex operational issues and cross-functional initiatives. Balance AI solution development, business insight generation, stakeholder partnership, analytics modernization, and project delivery priorities. Contribute to a collaborative team environment through experimentation, cross-training, knowledge transfer, and shared delivery standards. Generally reports to a Manager or Senior Manager. TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards package reflects the investments we make in our colleagues to h

📌 Data Scientist (Toronto)
🏢 TD
📍 Toronto