Senior Data Scientist

Job Summary

A company is looking for a Senior Data Scientist to build machine learning models for insurance claims analysis and fraud detection.

Key Responsibilities

• Improve existing supervised fraud detection models through feature engineering, tuning, and evaluation
• Design and implement unsupervised and semi-supervised anomaly detection models
• Analyze fraud patterns in FNOL and downstream claim lifecycle data

Required Qualifications

• 5+ years of hands-on experience in data science or applied ML, preferably in fraud, risk, or anomaly detection
• Strong experience with XGBoost or similar tree-based models
• Practical experience with unsupervised anomaly detection techniques
• Advanced Python skills and experience with large tabular datasets in production environments
• Fluent in Japanese and English, both spoken and written