Senior Data Scientist - Fraud Detection & AI Innovation

Datawizards; Zaventem; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Mobility budget

Company car

30 days PTO

Laptop + smartphone

Insurance (health, hospitalization, or

Stock options

Résumé du poste

Data Wizards is seeking a Senior Data Scientist to strengthen fraud models by feature engineering on large transactional and behavioral data. You will design and refine models using ML, graph analytics, and anomaly detection, turning data into actionable fraud intelligence.

You will collaborate with Fraud Operations, Risk, Compliance and Product teams to identify trends and translate business needs into scalable analytical solutions.

Qualifications

• 5+ years in data science with fraud detection experience
• Master's in quantitative field; PhD a plus
• Fluent in English; French and/or Dutch a plus

Responsabilités

• Strengthen fraud models by feature engineering on large transactional and behavioral data
• Build and refine fraud detection models using ML, graph analytics, anomaly detection and behavioral analytics
• Transform large datasets into actionable fraud intelligence via feature engineering and data enrichment
• Collaborate with Fraud Operations, Risk, Compliance and Product teams to spot emerging fraud trends
• Investigate complex fraud schemes and develop proactive detection strategies
• Role is project-based and responsibilities may vary due to consulting nature

Connaissances

SQL

Python (Pandas)

Spark

Hadoop

ML (supervised/unsupervised)

Graph analytics

Anomaly detection

Formation

Master's degree in quantitative field

PhD preferred

Outils

Spark

Hadoop

Cloud platforms (AWS/GCP)

Description du poste

Data Wizards is seeking a Senior Data Scientist to strengthen fraud models by feature engineering on large transactional and behavioral data. You will design and refine models using ML, graph analytics, and anomaly detection, turning data into actionable fraud intelligence.

You will collaborate with Fraud Operations, Risk, Compliance and Product teams to identify trends and translate business needs into scalable analytical solutions.