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# Senior Data Scientist

- **Company:** Data Wizards Solution
- **Location:** Machelen, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Network Analysis, Customer Data Management, Data Cleansing, Distributed Computing Environment, Fraud Prevention and Detection, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Apache Spark, Generative AI, Pandas, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.adzuna.be/details/5870212336

## About the Role

* At least 5 years of experience in data science, with a solid grounding in fraud detection, ideally within the financial sector
 * A Master's degree in a quantitative field such as statistics, computer science or engineering. A PhD is a plus, and candidates with a different academic background but strong analytical skills are equally welcome, * Hands-on experience processing large-scale, complex transactional and behavioral datasets using SQL, Python (Pandas) and distributed processing frameworks such as Spark or Hadoop
 * Proven ability to apply supervised and unsupervised machine learning, anomaly detection, graph analytics and network analysis to detect, investigate and prevent fraud. Experience with generative AI is a plus
 * Strong Python skills, with experience deploying AI applications into production; familiarity with Java is a plus

Soft Skills

 * Autonomous & Proactive: You take initiative and drive projects forward.
 * Curious & Adaptive: You embrace learning and thrive in dynamic environments.
 * Solution-Oriented: You balance technical rigor with business impact.
 * Clear Communicator: You simplify complex ideas for diverse audiences.
 * Collaborative & Supportive: You work well in teams.
 * Creative Thinker: You find innovative solutions to challenging problems.

 * Languages: Fluent in English, French and/or Dutch.

## Description

* Strengthening our fraud models by improving how we collect, label, structure and engineer features from complex transactional and behavioral data
 * Designing, building and continuously refining fraud detection models using machine learning, graph analytics, anomaly detection and behavioral analytics
 * Turning large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment and pattern discovery
 * Partnering with Fraud Operations, Risk, Compliance and Product teams to spot emerging fraud trends and translate business needs into scalable analytical solutions
 * Digging into complex fraud schemes, uncovering new attack vectors and building proactive detection strategies that protect the business financially and reputationally
 * But being a consulting company, we can't know in advance what your exact responsibilities will be


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