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  3. Data Scientist II

Data Scientist II

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TD Bank logo

Data Scientist II

TD Bank

81,600–115,200 / Year

Location

Toronto, Ontario

Experience

Mid

Posted

Jul 7, 2026

Apply by

July 17, 2026

Applicants

0

Early applicantFull-timeWork from Office

Sign in to apply on web or download the app for more options.

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](http://www.td.com/ca/en/about-td/who-we-are/benefits-of-working-at-td) **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

Key Responsibilities

  • Build and maintain anomaly detection models using statistical, machine learning, and data mining techniques.
  • Design and implement AI-driven workflows to automate business intake processes using low-code platforms and code-based frameworks.
  • Partner with business stakeholders to understand objectives and translate needs into analytical solutions.
  • Use Python, PySpark, and SQL to extract, prepare, and analyze large datasets.
  • Collaborate with AIML, data engineering, and analytics teams to deploy and monitor solutions at scale.
  • Provide thought leadership and drive knowledge transfer through internal training, labs, and runbooks.

Requirements

  • Undergraduate or advanced technical degree in math
  • statistics
  • engineering
  • finance
  • or computer science

Skills Required

PythonPySparkSQLTableauPowerBIDatabricksCopilot StudioAzure AI FoundryPower AppsPower AutomateMachine LearningDeep LearningNeural NetworksStatistical AnalysisData MiningCommunicationCollaborationProblem solvingCuriosityEvidence-driven mindset

Benefits

  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off
  • Banking benefits and discounts
  • Career development
  • Reward and recognition programs
  • Variable compensation
  • Online learning platform
  • Mentoring programs

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Job Overview

Salary

81,600–115,200 / Year

Currency: CAD

Job Type

Full-time

Experience

Mid

Location

Toronto, Ontario

Application Deadline

July 17, 2026

Total Applicants

0

About TD Bank

TD Bank logo

TD Bank is a leading company in the Technology sector, known for innovation and employee-centric culture.

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