Strong experience in data science, analytics, or machine learning Proficiency in Python and SQL for data analysis and model development Hands-on experience with Databricks and large-scale data platforms (e.g., Rahona or equivalent) Solid understanding of: Anomaly detection techniques Threshold calibration and signal optimization Model behavior and performance evaluation Experience working with alerting systems, monitoring data, or operational metrics Ability to translate complex data into transparent, actionable insights Technical Requirements Must Have: Python, SQL Machine Learning (anomaly detection, classification, clustering) Understanding of AI / GenAI concepts and agent-based architectures Experience with Power BI or similar visualization tools Nice to Have: Exposure to Splunk, Datadog, TMX, BioCatch, or similar alerting platforms Experience in fraud, cybersecurity, or operational risk analytics Experience working in regulated or audit-driven environments Nice to Have Experience with GenAI or agentic AI workflows (e.g., automation, recommendation systems) Exposure to risk, compliance, or regulatory monitoring frameworks

📌 Data Scientist - Data Science - F/H (Toronto)
🏢 LanceSoft
📍 Toronto