Data Scientist II (Customer Relationship & Deepening)

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$81,600 - $115,200 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:

Department Overview

Within CPB (Canadian Personal Banking), the AI2 (Analytics, Insights and Artificial Intelligence) team supports the day-to-day activities of the CPB businesses by providing consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. We work with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.

Job Description:

The Data Scientist II, Customer Relationship & Deepening will design, build, and deliver analytics solutions that support customer strategy, engagement, and deepening initiatives across CPB. This role sits within a high-impact pod focused on driving customer growth through deep-dive analysis of customer behavior, engagement, and lifecycle trends to inform strategic decision-making. This role leverages strong technical expertise, analytical thinking, and business partnership to translate complex customer data into actionable insights, data assets, and scalable analytics solutions that drive measurable growth and customer value.

Key Responsibilities include:

• Data Analysis & Insights: Analyze customer interaction, transaction, and engagement data to uncover trends, behaviors, and opportunities that inform customer deepening strategies.
• Analytics Development: Leverage SQL, Python, and cloud-based platforms to develop scalable data assets, models, and analytical solutions.
• Business Partnership: Collaborate with Customer Relationship, Segment Strategy, and Engagement teams to translate business questions into data-driven insights and recommendations.
• Reporting & Visualization: Develop dashboards and reporting solutions (e.g., Power BI/Tableau) to track performance, customer behaviors, and strategic outcomes.
• End-to-End Delivery: Lead full lifecycle analytics delivery including data exploration, requirements gathering, stakeholder alignment, and presenting insights in business-friendly language.

Job Requirements:

• Experience:
  • 3+ years of experience in data science, analytics, or a related field
  • Proven experience working with large, complex datasets and delivering business impact
• Technical Skills:
  • Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn) and SQL
  • Experience with data visualization tools (Power BI, Tableau)
  • Familiarity with cloud-based data platforms (e.g., Azure)
• Analytical & Business Skills:
  • Strong problem-solving and critical thinking abilities
  • Ability to translate data insights into clear business recommendations
  • Strong communication skills with the ability to present findings to non-technical stakeholders
• Collaboration:
  • Proven ability to partner effectively with cross-functional stakeholders
  • Strong time management and ability to work in a fast-paced, dynamic environment
  • Demonstrated ability to manage shifting priorities and deliver high-quality outputs under tight timelines

Preferred Qualifications (Nice to Have):

• Experience working with CPB data, customer segmentation, or digital/customer engagement analytics
• Exposure to machine learning techniques (e.g., clustering, propensity modeling, predictive analytics)
• Experience supporting customer strategy, lifecycle analysis, or campaign optimization
• Familiarity with experimentation frameworks (A/B testing) and measurement methodologies

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