Senior Fraud Data Scientist – On-Site AI & Fraud Analytics

Keystone Solutions; Brussel; Sur place; EUR 90 000 - 125 000; Plein temps

Résumé du poste

Keystone Solutions is seeking a Senior Data Scientist specializing in fraud detection for a client-site consultancy mission. You will work within the Artificial Intelligence Tribe, collaborating with data scientists, ML engineers, analysts, and product teams to deliver AI-powered fraud solutions.

You will oversee data engineering, model development, and deployment, translating business needs into robust analytical solutions across complex financial data environments.

Qualifications

• Master’s degree in a quantitative field; PhD is a plus.
• At least 7 years of data science experience, ideally in financial fraud detection.
• Strong analytical skills and ability to work cross-functionally across Fraud Operations, Risk, Compliance and Product.

Responsabilités

• Enhance fraud models by collecting, labeling, and structuring data.
• Design and improve fraud detection models using ML, anomaly and graph analytics.
• Transform large transactional and customer data into actionable fraud insights.
• Collaborate with cross-functional teams to identify fraud trends and translate needs into scalable analytics solutions.
• Investigate complex fraud schemes and proactively develop detection strategies.

Connaissances

Fraud detection

Data science

Machine learning

Graph analytics

Python

Analytical thinking

Communication

Formation

Master’s degree in statistics, computer science, or engineering

PhD (a plus)

Outils

SQL

Python (Pandas)

Spark/Hadoop

Distributed data processing

Java

Description du poste

Keystone Solutions is seeking a Senior Data Scientist specializing in fraud detection for a client-site consultancy mission. You will work within the Artificial Intelligence Tribe, collaborating with data scientists, ML engineers, analysts, and product teams to deliver AI-powered fraud solutions.

You will oversee data engineering, model development, and deployment, translating business needs into robust analytical solutions across complex financial data environments.