Data Scientist II

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 seeking a Data Scientist to support the CBP RESL Specialized Sales Force (SSF) business. SSF AI2 team supports the RESL Sales Channels (Mobile Mortgage Specialist, Broker, Builder and more). The team is responsible to provide end-to-end support of data, reporting, analytics, insights and artificial intelligence solutions to the business.

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

• Data Analysis & Insights: Analyze RESL data and provide performance insights on initiatives, using various statistical and analytical techniques, including but not limited to A/B testing, causal inference, and statistical modeling.
• AIML Model Development: Design, develop, and deploy machine learning models, including supervised and unsupervised learning, reinforcement learning, and generative AI (e.g., large language models). Build and maintain model pipelines to ensure scalability and efficiency.
• Model Explainability & Evaluation: Ensure model transparency by implementing explainability techniques and evaluating model performance using appropriate metrics.
• Coding & Automation: Use SQL, Python, and PySpark to automate reporting processes, improve efficiency, and streamline workflows. Develop reusable code for data preprocessing, feature engineering, and model deployment.
• Collaboration: Partner with SSF, RESL and Branch business partners, product owners, business management specialists, and technology teams to identify opportunities for AI/ML applications and ensure alignment with business objectives.
• Presentation & Storytelling: Develop and maintain analysis reports, dashboards, and presentations. Communicate insights effectively to multiple business partners, both technical and non-technical, through compelling storytelling - verbally and in writing.
• AI/ML Research & Innovation: Stay updated on the latest advancements in AI/ML, including generative AI, large language models, and statistical inferencing techniques. Apply innovative approaches to solve complex business problems.

The ideal candidate will have experience:

• Working with various and large datasets; experience with Personal Banking / RESL / Credits data & 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

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:

• Programming Expertise: Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark) and SQL (writing complex queries, stored procedures, and data extraction).
• Machine Learning & AI: Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference. Familiarity with generative AI (GenAI), large language models (LLMs), and statistical inferencing.
• Model Development & Deployment: Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.
• Data Visualization: Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards.
• Cloud Platforms: Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
• Data Handling: Expertise in working with large, complex datasets, including data cleansing, transformation, and integration.
• Analytical/Data Consultant: Strong understanding of data structures and the ability to connect technical data elements with business definitions.

Soft Skills:

• Effective Communication: Ability to clearly articulate technical findings and insights to both technical and non-technical stakeholders, including executives.
• Problem-Solving: Demonstrated ability to approach challenges analytically and develop innovative solutions.
• Collaboration: Comfortable working in a team environment with shifting priorities and deadlines.
• Adaptability: 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 creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.

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