Data Scientist II

Work Location:

Hours:

Line of Business:

Pay Details:

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:

Eric L9

Additional Job Description

Department Overview:

TD's Analytics, Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. 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.

We are looking for top analytics talent to tackle data analysis challenges in the real world. The analytics services we deliver provides Wealth business stakeholders analytics and actionable insights to help drive meaningful business decisions and results. The team provides a holistic Wealth lens for revenue growth, cost reduction, risk management, customer service, etc. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing analytics solutions through introducing best-practices.

Job Description

Reporting to Senior Manager, Data Science, this role will help drive and support TD Wealth client engagement initiatives in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights to support various business initiatives.

Key Accountabilities include:

• Work closely with business partners to gain deep understanding of the business and relevant objectives in order to contribute to the strategic direction of respective business and/or the enterprise
• Formulate relevant and meaningful data analysis through comprehensive data visualization tools, profiling tools, segmentation, as well as leveraging advanced modeling and analytics
• Participate in the interpretation of complex business issues, generate multifaceted insights and identify opportunities to help drive business growth or address business/enterprise needs
• Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner, leveraging tools/ techniques/ methods to produce a variety of visualizations/ presentations that fit the audience
• Act as interface with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
• Apply collaborative and strong stakeholder management approach to constructively influence and persuade stakeholders and partners where appropriate
• Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
• Escalate data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
• Comfortable in operating in a dynamic, fast-paced, and sometimes ambiguous environment
• Execute with excellence on key programs / plans and data requests accurately and within a timely manner
• Collaborate with partners on business challenges and deliver fact-based analytical advice that aligns to strategy and drives shareholder value
• Work directly with the business teams to gather the demand for analytics and work with the analytics hub to fulfill the analytics demand
• Work with business functions and analytics teams to transition business requirements to analytics requirements
• Develops analysis to corroborate initial proof of concept
• Provides thought leadership and/or industry knowledge for own area of expertise
• Support a positive work environment that promotes service to the business, quality, innovation and teamwork; ensure timely communication of issues/ points of interest
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Stay up-to-date with industry trends and best practices, ensuring the organization remains at the forefront of analytics and data driven decision-making.

Job Requirements:

Experience required:

• 3+ years relevant experience
• Knowledge of the wealth management industry in Canada and/or the US, ideally with familiarity or hands-on experience with wealth platforms
• Extract, analyze, and interpret data from various sources to provide valuable insights for the wealth division.
• Utilize statistical analysis to identify insights, key drivers and factors impacting business outcomes, providing actionable recommendations to stakeholders.
• Strong experience in data engineering practices, including designing, building, and maintaining scalable and efficient data pipelines and data marts to support analytical and machine learning work flows.
• Demonstrated experience in designing and evaluating marketing campaigns using data-driven insights.
• Design and implement AB testing strategies to optimize customer engagement and conversion rates across digital channels.
• Develop and execute marketing campaign analysis, measuring performance and recommending improvements for targeted customer segments.
• Collaborate with cross-functional teams to understand business objectives and translate them into analytical initiatives.

Required Skills & Education

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or related fields.
• Proven experience in the banking industry, with a focus on analytics, data analysis, or modeling.
• Strong expertise in AB testing methodologies and their practical application in optimizing customer experiences.
• Solid programming skills in languages like Python, R, or SQL for data manipulation and analysis.
• Excellent communication skills, with the ability to effectively present complex analytics findings to non-technical stakeholders.
• Ability to thrive in a fast-paced, collaborative environment and adapt to changing business needs.

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):