Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$96,900 - $136,800 CAD

Job Description:

Data Scientist III, Data Science - Customer Assistance (CA)

Department Overview

Within Analytics, Insights & Artificial Intelligence (AI2), the Customer Assistance (CA) team leverages data, analytics, and AI to improve customer outcomes, optimize operational performance, strengthen risk management, and drive measurable business value.

Partnering closely with business, Risk, Technology, and Operations leaders, the team delivers advanced analytics, machine learning, business intelligence, and AI solutions across customer journey analytics, collections optimization, forecasting, performance measurement, automation, model monitoring, and emerging AI capabilities.

As part of a collaborative team of data scientists, data engineers, and business partners, you will help solve complex business challenges and enable data-driven decision-making that improves both customer and business outcomes.

Job Description / Role Overview

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.

Key Responsibilities include:

• 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.

Required Skills & Qualifications

• 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.

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.

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