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TD Bank

Data Scientist II

Posted An Hour Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Data Scientist II will develop metrics to support CPB Operations, analyze data, and ensure effective data-driven decision-making, collaborating with business partners.
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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:

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.

The Canadian Personal Banking (CPB) AI2 team supports the day-to-day activities of the CPB businesses, working with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions.

Job Description:

We are looking for a Data Scientist to deliver comprehensive end-to-end metric development that supports CPB Operations business and being the data and metric experts to identify operational efficiencies. This role involves exploring and understanding data, gathering and documenting requirements, analyzing datasets, building a well structure data layer for presenting clear, actionable insights in a manner accessible to business stakeholders. As a key member of the team, you will serve as a data and metric experts and data layer architect, ensuring effective communication and collaboration to leverage data-driven solutions and drive informed decision making.

Some of the key responsibilities of this role include the following:

  • Coding & Automation: Use Python, Pyspark, SQL to build data process and automate it, improving efficiency and accuracy, creating scalability and reusability
  • Architecture: Building star-schema semantic model to better serve data consumption for BI and AI needs
  • Collaboration: Partner with Operations business partners, product owners, business management specialists and technology partners
  • Requirement & Storytelling: Understand business requirements and translate into technical development and maintain data layer, metrics. Communicate data insights effectively to multiple business partners; technical or non-technical – verbally/written

The ideal candidate will have experience:

  • Working with various large datasets; experience with financial products is strongly preferred
  • Experts on star-schema data layer development
  • Creating strong partnership with business partners.
  • Demonstrating critical thinking and structured problem-solving skills
  • Optional – Experience working on AI products and applications

Required Qualifications & Skills

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate's degree preferred, with progressive project work experience
  • 3+ years of relevant experience; higher degree education and research tenure can be counted.

  

Technical Skills:

  • Coding: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (writing complex queries, stored procedures, data extraction)
  • Architecture: experts on star-schema data model
  • Proficiency with version control – using Github and Visual Studio Code
  • Data Visualization: Experience with Power BI and Tableau reporting.
  • Experience with cloud-based data platforms (Azure etc.)
  • Data Handling: Experience working with large and complex datasets, often requiring data cleansing.
  • Analytical/Data Consultant: Requires strong understanding of data structures and ability to connect technical data elements with business definitions.

Soft Skills:

  • Effective communication – ability to communicate findings with business partners and executives
  • Strong oral & written communication skills
  • Problem-solving abilities
  • Data Storytelling - Ability to translate data insights into business recommendations
  • Comfortable in a team environment with changing priorities
  • Ability to multi-task and work independently in a fast-paced, dynamic environment

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

Top Skills

Azure
Power BI
Pyspark
Python
SQL
Tableau

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