Data Scientist

Church International Limited; Brussel; Sur place; EUR 120 000 - 190 000; Plein temps

Résumé du poste

Church International Limited in Brussels is seeking an Expert Fraud Data Scientist for a long-term freelance contract with a leading banking organisation. The ideal candidate is a Senior Data Scientist with a deep background in fraud detection and at least five years of experience developing AI applications.

You will design, develop and deploy ML models, perform feature engineering, and apply advanced analytics to identify emerging threats.

Qualifications

• A minimum of five years' experience developing AI applications, with a strong background in fraud detection.
• Proven expertise in Python, SQL, Pandas, Spark/Hadoop, and large-scale data processing.
• Experience building and deploying machine learning models into production environments.
• Strong knowledge of supervised and unsupervised machine learning, anomaly detection, graph analytics, and feature engineering.
• A master's degree in computer science, Statistics, Engineering, Mathematics, or another quantitative discipline (a PhD would be advantageous).

Responsabilités

• Design, develop and optimise fraud detection models using machine learning, anomaly detection, graph analytics, and behavioural analytics.
• Transform large volumes of transactional and customer data into actionable fraud intelligence through feature engineering and pattern discovery.
• Investigate complex fraud schemes and develop proactive detection strategies.
• Collaborate with Fraud Operations, Risk, Compliance and Product teams to deliver scalable, data-driven solutions.

Connaissances

Five years experience

Python

SQL

Pandas

Spark/Hadoop

Data processing

ML production

Supervised learning

Unsupervised learning

Feature engineering

Formation

Master's degree in CS/Statistics/Engineering/Math

Outils

None

Description du poste

Freelance Contract - August 2026 - 31 December 2027

Our client is seeking an Expert Fraud Data Scientist for a long-term freelance contract with a leading banking organisation based in Brussels.

This opportunity is ideal for a Senior Data Scientist with a background in Fraud Detection and a minimum of five years' experience developing AI applications. You will play a key role in designing and enhancing advanced fraud detection solutions, using AI and machine learning to identify emerging threats and help protect customers.

Key Responsibilities

• Design, develop and optimise fraud detection models using machine learning, anomaly detection, graph analytics, and behavioural analytics.
• Transform large volumes of transactional and customer data into actionable fraud intelligence through feature engineering and pattern discovery.
• Investigate complex fraud schemes and develop proactive detection strategies.
• Collaborate with Fraud Operations, Risk, Compliance and Product teams to deliver scalable, data-driven solutions.

Required Experience & Skills

• A minimum of five years' experience developing AI applications, with a strong background in fraud detection.
• Proven expertise in Python, SQL, Pandas, Spark/Hadoop, and large-scale data processing.
• Experience building and deploying machine learning models into production environments.
• Strong knowledge of supervised and unsupervised machine learning, anomaly detection, graph analytics, and feature engineering.
• A master's degree in computer science, Statistics, Engineering, Mathematics, or another quantitative discipline (a PhD would be advantageous).

This is an excellent opportunity to contribute to innovative AI initiatives within a collaborative and fast-paced banking environment on a long-term freelance basis.