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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:

Role Summary
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.

Key Accountabilities

• 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.
• Develop reusable agent capabilities, prompts, instructions, context, grounding approaches, and workflow integrations.
• 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.
• Support and modernize existing analytics and Alteryx workflows where required to maintain business continuity.
• Collaborate across analytics, data, technology, and business teams to deliver sustainable solutions and strengthen knowledge-sharing.

Required Qualifications and Skills

• 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 strong asset.
• Experience with Alteryx development, production support, or workflow modernization is considered a strong asset.

Additional Information

• 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.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):