Solid 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 clear, 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

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📌 Alerting Triage Optimization Data Scientist (Winnipeg)
🏢 LanceSoft
📍 Winnipeg