Senior Data Scientist Fraud Detection
Build and refine AI-powered fraud detection models for a financial-sector client, analyzing transactional data to uncover emerging threats and reduce financial crime.
- Compensation
- Not disclosed
- Location
- Ghent and/or Brussels
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 7+ years
- Category
- Data science
- Posted
Skills
Must have
- Minimum 7 years of experience in Data Science.
- Proven experience in fraud detection, risk analytics, financial crime, or related analytical domains.
- Strong programming skills in Python and SQL.
- Experience with Spark, Hadoop, or distributed data processing environments.
- Strong background in machine learning and advanced statistical methods.
- Experience with anomaly detection, graph analytics, network analysis, or behavioral analytics is highly valued.
- Experience deploying and maintaining AI solutions in production environments.
- Master's degree in Computer Science, Statistics, Engineering, Mathematics, or another quantitative field.
- Strong communication skills and ability to engage with both technical and business stakeholders.
- Fluent in Dutch, French, and English.
Full description
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Om te benadrukken dat onze kennis van Data & AI niet alleen beperkt is tot de projecten die we uitvoeren, maar ook diep geworteld is binnen ons eigen team. Dit geeft ons, als consultants, een uniek en goed onderbouwd inzicht in de markt, de gevraagde profielen, en de freelancers waarmee we samenwerken. 🤝 Want kennis is power, niet?
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Senior Data Scientist Fraud Detection
Are you a Senior Data Scientist with a strong entrepreneurial mindset? 🚀
You're not the kind of Data Scientist who only builds models. You want to solve real-world problems, uncover patterns others miss, and use AI to fight financial crime. For a large AI organization within the financial sector, we are looking for an experienced Senior Data Scientist Fraud Detection who wants to play a key role in developing advanced fraud detection models. You'll join a multidisciplinary team of AI specialists, Data Scientists, and Machine Learning Engineers working on innovative AI solutions that improve both customer experiences and internal operations.
What will you do?
- Design, develop, and continuously improve fraud detection models.
- Analyze large volumes of transactional and customer data to uncover fraud patterns and emerging threats.
- Apply machine learning, anomaly detection, graph analytics, and behavioral analytics techniques.
- Perform feature engineering, data enrichment, and data preparation to maximize model performance.
- Investigate new fraud schemes and proactively develop detection strategies.
- Collaborate closely with Fraud Operations, Risk, Compliance, and Product teams.
- Translate business challenges into scalable analytical and AI-driven solutions.