Applied Data Scientist – Risk & Anomaly Detection

About this role

Job Responsibilities Analyse large operational datasets to identify patterns, anomalies, outliers and risk indicators Develop approaches for anomaly detection, clustering, segmentation and risk scoring Build supervised machine-learning models where historical outcomes or labelled cases are available

This is a short preview. Read the full description on MyCareersFuture before you apply.

• Consulting
• Engineering
• Information Technology
• Professional Services
• Supervised Learning
• large datasets
• False Positive
• Data Pipeline

Learn AI for this job, first module free

A short, hands-on course on using AI in this kind of work.

Start free