Data Scientist II at TD — NeverHard

Line Of Business: Analytics, Insights, & Artificial Intelligence Work Location: Toronto, Ontario, Canada Hours: 37.5 Pay Details: $81,600 - $115,200 CAD 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. 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. Language Requirement (Quebec Only): Sans Objet #J-18808-Ljbffr