Data Scientist II, Branch Analytics

TD Bank

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profile Job Location:

Toronto - Canada

profile Monthly Salary: $ 81600 - 115200
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Analytics Insights & Artificial Intelligence

Pay Details:

$81600 - $115200 CAD

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.

Job Description:

The Data Scientist II Branch Analytics will design build and deploy advanced analytics solutions across cloud-based platforms translating complex business problems into production-ready data assets insights and automated analytics. This role combines strong technical expertise analytical thinking and business partnership to deliver measurable outcomes across operations risk and performance management.

Key Responsibilities include:

  • 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

Job 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.

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.

The Workplace Model for this role is Office Focused

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):

Sans Objet

Required Experience:

IC

Work Location:Toronto Ontario CanadaHours:37.5Line of Business:Analytics Insights & Artificial IntelligencePay Details:$81600 - $115200 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of...
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