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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:

Data Scientist III - Business Banking Analytics, Insights & Artificial Intelligence (AI2)

Department Overview

Within Analytics, Insights & Artificial Intelligence (AI2), our team develops and delivers data, analytics, machine learning, business intelligence and emerging AI capabilities that improve customer outcomes, optimize operational performance, strengthen risk management and create measurable business value.

You’ll work with data scientists, model developers, data engineers, product owners, business partners, Technology and control functions across Business Banking. Together, we turn complex customer and operational challenges into scalable, responsible and sustainable solutions.

Job Description / Role Overview

You’ll be a technical delivery leader who combines deep analytical expertise, strong ownership and business judgement. You’ll shape high-value opportunities from problem definition and data discovery through development, validation, implementation support, performance monitoring and ongoing optimization. Your work will help leaders make informed decisions and improve customer and business outcomes.

Key Responsibilities include:

• Lead end-to-end delivery: Own complex analytics, machine learning and AI initiatives from business problem definition through solution design, validation, implementation support, and monitoring.
• Translate needs into outcomes: Partner with business stakeholders to clarify requirements, assess feasibility, define success measures and convert business challenges into scalable analytical solutions and actionable recommendations.
• Build and operationalize solutions: Use Python, PySpark, SQL, and cloud analytics platforms to analyze large structured and unstructured datasets and develop production-ready capabilities.
• Measure value and performance: Define KPIs, apply test-and-learn methods, quantify business impact and establish reporting, dashboards and monitoring that support value realization and ongoing optimization.
• Deliver responsibly: Assess data sources and quality, document data flows, technical designs and test results, and work with Privacy, Compliance, Model Risk Management and other control partners to meet governance and responsible AI expectations.
• Influence and enable: Present executive-ready insights, explain analytical concepts and trade-offs clearly, resolve delivery risks, contribute thought leadership and support knowledge transfer across technical and non-technical teams.

Required Skills & Qualifications

• 5+ years of relevant experience in data science, advanced analytics or a related quantitative field.
• A degree in data science, statistics, computer science, engineering, mathematics, finance or related quantitative discipline.
• Advanced proficiency in Python and SQL, with experience using PySpark and a modern analytics platform such as Databricks to work with large datasets.
• Experience with Power BI, Tableau, or similar visualization tools.
• Applied experience in statistics, experimentation, machine learning or predictive analytics, including delivery of scalable or production-ready solutions in a cloud environment.
• Strong problem-solving, communication and data storytelling skills, with demonstrated ability to influence business, executive and technical stakeholders.
• Experience managing work across multiple partners and priorities while maintaining quality, documentation and delivery standards.
• Working knowledge of data governance, privacy, compliance, risk management and responsible AI practices.

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):