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About the Role

The Data Scientist II designs, builds, and deploys advanced analytics solutions on cloud-based platforms. This role translates complex business challenges into production-ready data assets, actionable insights, and automated analytics to drive measurable improvements in goaling, pipeline optimization, and performance management.

Responsibilities

• Develop scalable analytics solutions using Python, SQL, and PySpark within cloud environments (Azure Databricks and enterprise data platforms)
• Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls
• Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities
• Translate ambiguous business questions into structured analytical frameworks and actionable deliverables
• Embed data quality checks, validation, and automation into all analytics products
• Partner cross-functionally with business stakeholders, data engineering teams, and enterprise analytics groups
• Communicate insights through dashboards, presentations, and executive-ready storytelling
• Continuously improve analytics processes, standards, and reusable data assets
• Support a strong risk and control culture through robust analytical monitoring and governance

Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)
• Graduate degree preferred or progressive project work experience
• 3+ years of relevant experience; higher degree education and research tenure can be counted
• Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
• Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others
• Strong risk acumen – challenges the status quo and proactively manages risks
• Ability to work in ambiguity and simplify complex issues
• Strong work ethic and ability to execute with speed

Skills

• Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark)
• Proficiency in SQL (writing complex queries, stored procedures, and data extraction)
• Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference
• Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability
• Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments
• Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards

Location

• Toronto, Ontario, Canada

Work Type

• Full-time

Experience Level

• 3+ years of relevant experience

Education Level

• Undergraduate degree or advanced technical degree preferred
• Graduate degree preferred

Salary/Compensations

• $81,600 - $115,200 CAD

Benefits

• Health and well-being benefits
• Savings and retirement programs
• Paid time off
• Banking benefits and discounts
• Career development
• Reward and recognition programs
• Training programs
• Online learning platform
• Mentoring programs

About the Company

• TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
• 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.
• 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.

Equal Opportunity

• We're committed to providing the support our colleagues need to thrive both at work and at home.
• We 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.
• 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.