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About the Role

As a Data Scientist III, you will be a technical leader responsible for designing, delivering, and sustaining advanced analytics, AI, and business intelligence solutions that support the strategic priorities of the Customer Assistance business. You will partner with many stakeholders to translate complex business challenges into scalable analytical solutions. Using advanced analytics, machine learning, experimentation, and AI techniques, you will identify opportunities to improve customer outcomes, optimize operations, strengthen risk management, and drive measurable business value. This role requires strong technical expertise, business acumen, stakeholder management, and a passion for innovation to help advance CA's analytics and AI capabilities.

Responsibilities

Lead advanced analytics, machine learning, and AI initiatives that deliver measurable business value.
Translate business challenges into scalable analytical solutions and actionable insights.
Develop predictive models, reporting frameworks, dashboards, and monitoring capabilities.
Leverage Python, PySpark, SQL, and cloud technologies to analyze large and complex datasets.
Quantify business impact, define KPIs, and measure value realization using robust analytical methodologies.
Identify opportunities to improve customer outcomes, operational effectiveness, portfolio performance, and risk management.
Present complex findings through executive-ready insights, visualizations, and recommendations.
Partner closely with business, technology, and risk stakeholders to deliver strategic outcomes.
Champion data governance, data quality, and responsible AI practices.
Drive innovation through experimentation, automation, and adoption of emerging AI capabilities.
Effectively manage multiple priorities while maintaining high-quality deliverables and stakeholder satisfaction.

Requirements

5+ years of experience in data science, advanced analytics, or a related quantitative field.
Degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Finance, or related discipline.
Advanced proficiency in Python, SQL, and modern analytics platforms (e.g., Databricks).
Experience applying statistical modeling, machine learning, predictive analytics, and experimentation techniques to business problems.
Strong foundation in statistics and working with large structured and unstructured datasets.
Experience delivering production-ready analytics solutions in cloud environments.
Strong communication and data storytelling skills, with the ability to influence business and technical stakeholders.
Knowledge of data governance, risk management, privacy, compliance, and responsible AI practices.
Experience with Power BI, Tableau, or similar visualization tools.
Experience in banking, financial services, collections, customer assistance, risk, or operations analytics is an asset.

Skills

Python
PySpark
SQL
Cloud technologies
Statistical modeling
Machine learning
Predictive analytics
Experimentation techniques
Data governance
Data quality
Responsible AI practices
Power BI
Tableau

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

5+ years

Education Level

Degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Finance, or related discipline.

Salary/Compensations

$96,900 - $136,800 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

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.
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.

Equal Opportunity

TD is committed to providing fair and equitable compensation opportunities to all colleagues.
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.