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Added 12 mins ago
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Data Scientist II

Toronto, ON, Canada

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 5, 2026
Experience: 3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 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 candidate's 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 Canadian Personal Banking (CPB) Analytics, Insights and Artificial Intelligence (AI2) team supports the day-to-day activities of the CPB businesses, working with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions.

The Business Management Governance AI2 team is responsible for supporting First Line 1B (Governance & Control) partners by providing analytics, insights, and tools to strengthen risk and control oversight. We enable effective monitoring, issue management, and reporting to support informed, risk‑based decision making across the business

Job Description:

As a Data Scientist in BMG (Business Management and Governance) Team, you will enhance and maintain outlier detection models, modernize heuristic rule-based approaches with ML, and strengthen the POD through structural enablement (brown bags, labs, office hours). You will also design AI -driven automation to streamline business intake processes using historical archives to identify repeat vs net-new requests and surface self-serve insights

Key Responsibilities:

Build/maintain anomaly detection model using statistical, machine learning, and data mining techniques.
Design and implement AI-driven workflows to automate business intake processes, leveraging both low-code platforms (e.g., Copilot Studio) and code-based frameworks to enable intelligent comparison with historical requests and generate self-serve recommendations
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Collaborate across AIML, data engineering, and analytics to deploy and monitor solutions at scale.
Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
Share expertise and drive knowledge transfer through internal training, labs and runbooks

Job Requirements:

Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience
3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
Hands on modelling experience with supervised, unsupervised and other AI methods, including deep learning and neural networks
Experience on Copilot Studio, Azure AI Foundry, Power Apps, Power Automate tools is a must

Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results.
Experience delivering ML enablement (brown bags, workshops, office hours) aligned with internal learning pathways
Ability to translate intake requests into technical plans and deliver self‑serve artifacts for business partners.
Strong communication skills; open mindset - curious, collaborative, and evidence driven ‑driven

Who We Are:

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.

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.

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 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

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More about this job

Responsibilities

You will build and maintain anomaly detection models while designing AI-driven workflows to automate business intake processes. Additionally, you will collaborate with stakeholders to translate business needs into analytical solutions and drive knowledge transfer within the team.

Requirements

Candidates must have an undergraduate or advanced technical degree and at least 3 years of relevant experience in analytics or data science. Proficiency in Python, SQL, and AI tools like Copilot Studio is required, along with strong communication and analytical skills.

Skills

Python
Pyspark
SQL
Machine learning
Anomaly detection
Data mining
Copilot Studio
Azure AI Foundry
Power Apps
Power Automate
Tableau
PowerBI
Databricks
Statistical modeling
Deep learning
Neural networks

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Analytics
Artificial Intelligence
Machine Learning
Anomaly Detection
Python
Pyspark
SQL
Copilot Studio
Azure AI Foundry
Power Apps
Power Automate
Tableau
PowerBI
Databricks
Statistical Modeling
Deep Learning
Neural Networks
Data Mining
Business Intelligence
Risk Management
Automation
Financial Services
Banking
Governance
Data Engineering
Predictive Analytics
Model Development
Stakeholder Management
Technical Documentation

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