Senior Data Scientist

EIS is looking for a Senior Data Scientist to build machine learning models for insurance claims analysis and fraud detection. The role offers opportunities to work on advanced AI projects and grow with the expanding Japan team. Role type: 1-year full-time employment contract. Department 553 EBS Engineering Employment Type Fixed Term - Full Time Location Tokyo, Japan Workplace type Fully remote

Key Responsibilities

Improve existing supervised fraud detection models (primarily XGBoost) through feature engineering, tuning, and evaluation

Design and implement unsupervised and semi-supervised anomaly detection models (e.g., ECOD, Isolation Forest, clustering-based approaches)

Explore ensemble strategies combining anomaly signals, supervised scores, and business rules

Analyze fraud patterns in FNOL (First Notice of Loss) and downstream claim lifecycle data

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