Data Scientist
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We are looking for an Data Scientist to join an AI team in Brussels for a 16-month fraud detection project. The role follows a 50% hybrid work model and focuses on developing production-grade AI applications and advanced fraud detection solutions. The start date is as soon as possible.
Key responsibilities
- Collect, label, curate, structure, and engineer data to improve fraud detection models.
- Design, develop, and continuously improve fraud detection models using machine learning, graph analytics, anomaly detection, and behavioral analytics.
- Transform large volumes of transactional and customer data into actionable fraud intelligence.
- Perform feature engineering, data enrichment, and pattern discovery.
- Collaborate with Fraud Operations, Risk, Compliance, and Product teams to identify emerging fraud trends.
- Translate business needs into scalable analytical solutions.
- Investigate complex fraud schemes and uncover new attack vectors.
- Develop detection strategies to mitigate financial and reputational risks.
- Contribute to deploying AI applications in production.
Must-Have Requirements
- You have at least 7 years of experience in data science, with a focus on fraud detection.
- You have at least 5 years of experience developing AI applications.
- You have strong hands-on experience with Python, Pandas, and SQL.
- You have strong experience processing large-scale datasets with Spark, Hadoop, and distributed data processing technologies.
- You have experience collecting, enriching, structuring, and validating complex transactional and behavioral data.
- You have experience with supervised and unsupervised machine learning.
- You have experience with anomaly detection, graph analytics, network analysis, and behavioral analytics.
- You have experience building data-centric AI solutions using robust software engineering practices.
- You have experience deploying AI applications in production.
- English proficiency
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