Data Scientist II, Branch Analytics (B3617)

Work Location:

Hours:

Line of Business:

Pay Details:

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 candidates 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 Description:

The Branch Analytics team within Analytics Insights and Artificial Intelligence (AI2) provides consultative data-driven solutions to support operational excellence regulatory adherence and performance optimization across TDs branch network. The team partners closely with business stakeholders to transform large-scale enterprise data into scalable analytics products actionable insights and automated monitoring solutions that directly drive business value.

Role Overview

The Data Scientist II Branch Analytics will design and deliver end-to-end analytics solutions combining data science advanced analytics and business intelligence (BI).

This role applies statistical analysis machine learning and data-driven experimentation to solve complex business problems while also translating these insights into scalable dashboards reporting solutions and decision-support tools for stakeholders.

Success in this role requires strong depth in data science and analytical problem solving complemented by the ability to deliver intuitive business-facing BI solutions that drive adoption and impact.

Key Responsibilities

• Apply statistical analysis machine learning and advanced analytics techniques to identify trends risks and optimization opportunities
• Design and build analytical models experimentation frameworks and data-driven solutions to address complex business problems
• Develop and maintain curated datasets feature layers and analytical data models to support both modeling and reporting use cases
• Translate ambiguous business problems into structured analytical approaches KPIs and measurable outcomes
• Deliver insights through interactive dashboards (Power BI) reporting solutions and executive-ready storytelling
• Partner with stakeholders to define analytical requirements and design data-driven decision frameworks
• Ensure data quality validation and governance across both analytical models and BI outputs
• Operationalize analytics through automated pipelines monitoring solutions and repeatable reporting processes
• Continuously improve analytical methodologies data assets and reporting efficiency
• Support risk and control objectives through analytical monitoring and insight generation

Required Qualifications

• 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.

Technical Skills

• Proficiency in Python (including Pandas NumPy Scikit-learn TensorFlow PyTorch and PySpark) and 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.

Who We Are:

TD is one of the worlds 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 95000 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.

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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.

Were 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 youve got everything you need to succeed in your new role.

Interview Process
Well 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 youd 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):