Data Scientist II
Core
Enhance outlier detection models, modernize heuristic rules with ML, and design AI-driven automation for business intake processes within banking governance.
Role type
Data Scientist II (ML & Analytics)
Builds
Anomaly detection models, AI-driven automation workflows, and self-serve insights for business partners.
Domain
Banking / Financial Services / Risk & Control
Deliverable
production ML models | product features
Required skills
Supervised/unsupervised learning, deep learning, neural networks, statistical analysis, data mining, Python, PySpark, SQL, Copilot Studio, Azure AI Foundry, Power Apps, Power Automate
Preferred skills
Graduate degree, experience delivering ML enablement workshops, knowledge of Tableau/Databricks
Technologies
Python, PySpark, SQL, Copilot Studio, Azure AI Foundry, Power Apps, Power Automate, Tableau, Databricks
Responsibilities
Build and maintain anomaly detection models using statistical and ML techniques; Design and implement AI-driven workflows to automate business intake; Partner with stakeholders to translate business needs into analytical solutions; Extract and prepare data from large datasets to inform recommendations; Collaborate with data engineering and analytics teams to deploy solutions at scale; Provide thought leadership and drive knowledge transfer through internal training and labs.