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Data Scientist - Payments

ixopay·EU·Austria, Germany, Italy·mid
mldata engineeringdata science
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About IXOPAY IXOPAY is the enterprise-grade global payment infrastructure platform built for the era of agentic commerce. We equip merchants and enterprises with AI-driven intelligence, payment orchestration, advanced tokenization, and the tools to optimize every stage of the payments journey. From intelligent routing and compliance to customizable modules and enterprise-scale orchestration, IXOPAY helps businesses integrate faster, improve payment performance, and expand globally with confidence. At IXOPAY , our people are our greatest strength. Our collaborative culture is built on shared values that guide how we work, innovate, and support our customers. About the Role We're looking for a Data Scientist - Payments to help shape the future of IXOPAY 's AI Payments Intelligence platform. As part of our Data Science & Engineering team, you'll develop machine learning models and AI-driven capabilities that transform complex payment data into actionable insights. Working closely with Engineering, Product, and customers, you'll build solutions that help global merchants optimize payment performance, improve conversion rates, detect anomalies, and manage risk. This is a hands-on role with ownership across the full data science lifecycle—from research and model development through production deployment and ongoing optimization. What You'll Do Design, build, deploy, and maintain machine learning models that improve payment performance and operational efficiency. Develop AI-driven capabilities including anomaly detection, predictive analytics, intelligent routing, and automated decision-making. Own the end-to-end data science lifecycle, including data exploration, feature engineering, model validation, deployment, and monitoring. Work with large-scale payment transaction data from PSPs, acquirers, and gateways to deliver reliable, production-ready insights. Collaborate with Data Engineering and Backend teams to build scalable data pipelines, feature stores, and model-servi

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