Job Specifications
Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line Of Business:
Analytics, Insights, & Artificial Intelligence
Pay Details:
$76,800 - $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 analysis that supports CPB Operations business and analyze data and identify operational efficiencies. This role involves exploring and understanding data, gathering and documenting requirements, analyzing datasets, and presenting clear, actionable insights in a manner accessible to business stakeholders. As a key member of the team, you will serve as a bridge between business and technology groups, 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,
Data Analysis & Insights: Analyze operations data and provide performance insights on initiatives, using various statistical & analytical techniques including but not limited to A/B testing
Coding & Automation: Use Python, Pyspark, SQL to automate reporting processes, improving efficiency and accuracy
Collaboration: Partner with Operations business partners, product owners, business management specialists and technology partners
Presentation & Storytelling: Develop and maintain analysis reports/dashboards/presentations and communicate insights effectively to multiple business partners; technical or non-technical – verbally/written
The Ideal Candidate Will Have Experience:
Working with various and large datasets; experience with financial products is strongly preferred
Using multiple analytics techniques to support the business strategy.
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+ year 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)
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 analytical mindset
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 deliver legendary customer experiences to 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 c
About the Company
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by assets & serves approx. 28 million customers in a number of locations in key financial centres around the globe. With over 95,000 employees, TD ranks among the world's leading online financial firms, with more than 17 million active online and mobile customers. Delivering legendary customer experiences is who we are & is part of our goal to be the Better Bank. Visit our Careers page to l...
Know more