Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Analytics, Insights, & Artificial Intelligence
Pay Details:
$96,900 - $136,800 CAD
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 (Test & Learn) Analytics Engagement Lead, Wealth AI2
Who We Are
Wealth AI2 (Analytics, Insights & AI) builds data, analytics, and reporting capabilities that help TD Wealth teams make better, faster decisions by delivering trusted insights and scalable analytics solutions that drive value.
Overview
This role sits within the Wealth AI2 team, supporting Test & Learn projects. We are looking for an experienced Analytics Engagement Lead to lead the design, execution, and delivery of end-to-end Test & Learn initiatives. This role combines strategic consulting, advanced analytics, experimentation methodology, and stakeholder management to help business partners make data-driven decisions.
The successful candidate will be a hands-on analytics leader who can independently design experiments, perform statistical analyses, communicate insights to senior executives, and mentor junior analysts while partnering closely with business stakeholders across the organization to influence decision-making.
Key Responsibilities
1) Lead End-to-End Test & Learn Engagements
- Lead the end-to-end delivery of Test & Learn initiatives, from problem framing and experimental design to analysis, recommendations, and business adoption.
- Partner with business stakeholders to identify opportunities where experimentation can drive measurable business value.
- Design robust A/B tests, randomized controlled trials, quasi-experiments, and other experimental approaches appropriate for business scenarios.
- Define success metrics, sample size requirements, test duration, and measurement methodology.
- Analyze experiment results and translate statistical findings into actionable business recommendations.
2) Advanced Analytics & Technical Execution
- Perform hands-on data extraction, transformation, analysis, and modeling using SQL, Python, and PySpark.
- Build scalable analytical workflows and reusable assets to improve experimentation efficiency.
- Ensure data quality, analytical rigor, and reproducibility throughout the analysis lifecycle.
- Apply statistical techniques to evaluate causal impact, quantify uncertainty, and validate business outcomes.
3) Leadership & Quality Assurance
- Provide technical leadership and analytical guidance to junior analysts.
- Conduct peer reviews of code and analytical solutions to ensure accuracy, efficiency, and adherence to development standards.
- Coach team members on experimentation best practices, coding standards, and analytical storytelling.
- Promote best practices in Test & Learn methodologies across the analytics team.
4) Stakeholder Engagement
- Act as a strategic thought leader to business stakeholders, build strong partnerships with business leaders and cross-functional teams, confidently challenge assumptions, shape problem definitions, and influence decisions to balance business needs with analytical rigor and feasibility.
- Translate complex analytical concepts into clear, business-friendly recommendations.
- Present insights, recommendations, and experiment results to senior executives with confidence and clarity.
- Influence business decisions through evidence-based storytelling and data-driven recommendations.
Qualifications
1) Required Experience
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.
- 5 years of experience in analytics, experimentation, consulting, or data science.
- Demonstrated experience leading end-to-end Test & Learn or experimentation initiatives.
- Experience working directly with business stakeholders and senior leadership.
2) Technical Skills
- Advanced proficiency in SQL.
- Strong programming skills in Python.
- Experience working with PySpark and large-scale datasets.
- Solid understanding of statistical inference, hypothesis testing, confidence intervals, regression analysis, sampling methodologies, and experimental design.
- Experience with A/B testing, causal inference, uplift measurement, or related experimentation methodologies.
- Familiarity with data visualization and presentation tools.
3) Leadership & Communication
- Excellent executive presentation and storytelling skills.
- Strong consulting and stakeholder management capabilities.
- Ability to simplify complex analytical concepts for non-technical audiences.
- Strong problem-solving skills with a bias toward delivering measurable business outcomes.
- Experience mentoring or reviewing the work of junior analysts.
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):
Sans Objet
