Analytics, Insights, & Artificial Intelligence
Analytics, Insights, & Artificial Intelligence

96,900 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. 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 Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through data science. This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. This role may also oversee the development of data models, data mining and analytic solutions.
Lead and mentor a team of Data Scientists, providing technical guidance, coaching, performance feedback, and career development support.
Partner with business stakeholders to identify, prioritize, and deliver machine learning, AI, and advanced analytics use cases.
Translate business requirements into analytical frameworks, machine learning models, and actionable recommendations.
Develop, test, and deploy predictive, prescriptive, and generative AI solutions to address business challenges.
Oversee model development activities including feature engineering, algorithm selection, model training, validation, and performance monitoring.
Work closely with data engineers and technology teams to ensure scalable, production-ready solutions.
Conduct exploratory data analysis and communicate findings to both technical and non-technical audiences.
Support proof-of-concepts, pilot programs, and experimentation initiatives to evaluate new AI and machine learning capabilities.
Ensure model governance, documentation, validation, and monitoring requirements are met in accordance with enterprise standards.
Evaluate emerging data science techniques, AI technologies, and industry trends and recommend practical applications.
Contribute to establishing best practices, reusable frameworks, and standards across the data science function.
Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
Leads and manages a sizeable team of Data Science professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
Focuses on short to medium-term issues (e.g. Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
~Customer Accountabilities
Leads team of Data Scientists and provide day-to-day direction as needed
Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
Works closely with business owners to identify opportunities and serves as an ambassador for data science
Leads and oversees the design and delivery of enterprise analytic solutions for customers
Work in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
Collaborates with business partners to shape and prioritize ad hoc analysis
Provides analytical thought leadership and stays current on developments in data mining and the application of data science




Manages workload of data science team; assigning data request to staff based on skills and development needs
Designs effective test and learns for various programs or scenarios
Leads team to prepare framework to succinctly take complex data and translate it into transparent and concise recommendations
Leads relationships with corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements
Supports team in staying knowledgeable on emerging issues, trends and evolving regulatory requirements and assesses potential impacts to the Bank
Identifies, mitigates and reports on risk issues per enterprise policy/guidance and ensures appropriate escalation processes are followed
Ensures business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
Leads relationships with business lines / corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements
Leads or contributes to cross-functional/enterprise initiatives as an organizational or subject matter expert helping to identify risk/provide guidance for complex situations
Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk transactions/activities as necessary
Manages oversight process, risk-based identification and monitoring of related risks and regulatory compliance across the supported functions, while ensuring key controls and processes are effectively managed
Oversees or leads the facilitation and/or implementation of action/remediation plans to address performance/risk/governance issues
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
makes an impact at work and in our communities by leading with authenticity and supporting well-being to represent TD's brand
Builds and retains an engaged and diverse team where every colleague and customer are valued, respected, and listened to; Demonstrates inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results
Recruits, identifies strong talent and develops a diverse talent pipeline of qualified workforce to innovate and maximize individual strengths to lead to a better business outcome
Enables a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership
Enables a high-performance culture by setting team targets and objectives, facilitating on-going and proactive feedback/coaching and conducting Quarterly Check-Ins for all colleagues to drive accountability and business results




Manages employees in compliance with all human resources policies, procedures and guidelines of conduct
Master's degree in data science , PhD in data science, Computer Science, Statistics, Mathematics, Machine Learning, Artificial Intelligence, Engineering, Physics, or a related quantitative field.

- 5+ years of experience applying machine learning, artificial intelligence, advanced analytics, or statistical modeling techniques in a business environment.
- 2+ years of experience leading projects, mentoring junior team members, or providing technical leadership.
- Advanced proficiency in Python and up-to-date data science libraries and frameworks (e.g., Experience building and deploying machine learning models in production environments.
- Experience developing Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), Agentic AI, or Natural Language Processing (NLP) solutions.
- Strong understanding of machine learning techniques including classification, regression, clustering, forecasting, anomaly detection, recommendation systems, and optimization.
- Experience with MLOps practices including model deployment, monitoring, version control, and lifecycle management.
- Knowledge of model governance, explainability, fairness, and responsible AI principles.
- Experience working with cloud-based analytics platforms such as Azure, AWS, or Google Cloud.
- Ability to communicate complex analytical concepts and model outcomes to both technical and business audiences.
- Experience in big tech companies and industries.

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Together, we are reimagining what banking can be for our clients, colleagues and communities.
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.
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.
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.
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.
We do our best to communicate outcomes to all applicants by email or phone call.
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.
Language Requirement (Quebec Only)

📌 Head of Machine Learning and Data Science (Toronto)
🏢 TD
📍 Toronto