Data Scientist II

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Data Scientist II page is loaded## Data Scientist IIremote type:
On Site locations:
Toronto, Ontario time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
March 6, 2026 (7 days left to apply) job requisition :
R 1472861
*
* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
** Pay Details:**$91,600 - $115,200 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  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 Overview:
** The Canadian Personal Banking (CPB) Analytics team within AI2 (Insights and Artificial Intelligence) 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.
* Automate business intakes into workflows using AI to compare new requests with historical intakes 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
* Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, Power

BI, 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…