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 - Wealth AI2 (Advice Journey, Solutions & Enablement) Analytics Engagement LeadTeam / MandateThis role sits within the Wealth AI2 team, supporting the
Wealth Advice Solutions & Enablement (WASE) with an emphasis on
Solutions Implementation, Acquisition, Transformation and
Journey projects. As an AEL, you provide technical leadership across analytics work that may have enterprise mandate and partner directly with senior stakeholders to explain complex analysis and drive decision-ready outcomes.
Key Accountabilities1) Lead End-to-End Engagements- Lead the end-to-end delivery of initiatives, from problem framing to analysis, recommendations, and business adoption.
- Partner with business stakeholders to identify opportunities where data analytics can drive measurable business value.
- Collaborate with partners across analytics, data engineering, and technology to develop scalable and sustainable analytics solutions.
- Translate data-driven insights into actionable business recommendations.
2) Advanced Analytics & Technical Execution- Able to perform hands-on data extraction, transformation, analysis, and modeling using SQL, Python, and PySpark.
- Build scalable analytical workflows and reusable assets to improve 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 best practices, coding standards, and analytical storytelling.
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 outcomes, insights and r
- ecommendations to senior executives with confidence and clarity.
- Influence business decisions through evidence-based storytelling and data-driven recommendations.
Qualifications1) Required Experience- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Finance, or a related quantitative discipline.
- 5 years of experience in analytics, consulting, or data science.
- Experience working directly with business stakeholders and senior leadership.
2) Technical Skills- Advanced proficiency in SQL and Python programming skills.
- Hands-on experience with Azure Databricks and PySpark for large-scale analytics.
- Strong foundation in statistical inference, hypothesis testing, regression, sampling methodologies, and experimental design.
- Experience building scalable, reusable analytical assets and workflows.
- 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.
Our Total Rewards PackageOur 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.
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 & OnboardingWe 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
