We are looking for a hands-on Data Scientist who is passionate about applying machine learning to real-world financial crime problems. * Explore transactional and behavioral data to identify suspicious patterns - You enjoy working with complex transactional data, take ownership of models from idea to production, and care about building solutions that are not only accurate but also robust, explainable, and scalable. * Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * 2–3 years of hands-on experience in machine learning and applied data science, ideally in fraud detection, banking, or financial services * End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full lifecycle
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