Data Scientist II
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Key skills for this role
About the Role
TD Bank seeks a Data Scientist II to join the Canadian Personal Banking Analytics team. You will build anomaly detection models, design AI-driven automation, and partner with business stakeholders.
Key Skills for This Role
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
- Partner with business stakeholders to understand objectives and translate business needs into analytical solutions
- Use programming languages (Python, PySpark, SQL) to extract and prepare data and apply advanced analytics
- Collaborate across AIML, data engineering, and analytics to deploy and monitor solutions at scale
- Provide thought leadership and participate in knowledge transfer within the team and business unit
Requirements
- Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred
- 3+ years of relevant experience in analytics, data science and/or consulting
- 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
- Experience delivering ML enablement (brown bags, workshops, office hours)
- Ability to translate intake requests into technical plans and deliver self serve artifacts
- Strong communication skills; open mindset—curious, collaborative, and evidence driven
Full Job Posting
Department Description
- The Canadian Personal Banking (CPB) Analytics, Insights and Artificial Intelligence (AI2) team supports the day to day activities of the CPB businesses.
Job Description
- As a Data Scientist in BMG Team, you will enhance and maintain outlier detection models, modernize heuristic rule based approaches with ML, and strengthen the POD through structural enablement.
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.
- Partner with business stakeholders to understand objectives and translate business needs into analytical solutions.
- Use programming languages (Python, PySpark, SQL) to extract and prepare data and apply advanced analytics.
- Collaborate across AIML, data engineering, and analytics to deploy and monitor solutions at scale.
- Provide thought leadership and participate in knowledge transfer within the team and business unit.
Job Requirements
- Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred.
- 3+ years of relevant experience in analytics, data science and/or consulting.
- 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.
- Experience delivering ML enablement (brown bags, workshops, office hours).
- Ability to translate intake requests into technical plans and deliver self serve artifacts.
- Strong communication skills; open mindset—curious, collaborative, and evidence driven.
Pay Details
- $81,600 $115,200 CAD
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