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Data Scientist II at JobPath Partners LLC — NeverHard

Data Scientist II at JobPath Partners LLC in Toronto, Ontario. Skills: Analytics, Business Intelligence, Data Analysis, Reporting, Risk Management. Apply on NeverHard.

Company
JobPath Partners LLC
Location
Toronto, Ontario
Type
part_time

Required skills:

Work Location Toronto, Ontario, Canada Hours 37.5 hours per week 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. 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. 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 Language Requirement (Quebec only) Sans Objet #J-18808-Ljbffr