Data Scientist - Payments

Stack

Responsibilities

• ▹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 from data exploration and feature engineering to model validation, deployment and monitoring
• ▹Work with large-scale payment transaction data from PSPs, acquirers and gateways
• ▹Collaborate with Data Engineering and Backend teams to build scalable data pipelines, feature stores and model-serving infrastructure
• ▹Monitor model performance, explainability and drift to ensure reliable production systems

Requirements

• ▹3+ years of experience in Data Science, Machine Learning or Applied AI
• ▹Strong Python skills with experience building production machine learning solutions
• ▹Proven experience developing and maintaining predictive models for anomaly detection, forecasting, optimization or risk management
• ▹Experience with Pandas, NumPy, SciPy and gradient boosting frameworks such as LightGBM, XGBoost or CatBoost
• ▹Strong understanding of statistical modelling, forecasting and data analysis
• ▹Experience with SQL and large-scale analytical databases

Nice to have

• ▹Experience in payments, FinTech, fraud prevention or financial services
• ▹Advanced degree in Computer Science, Mathematics, Physics, Data Science or a related quantitative discipline
• ▹Experience with ClickHouse, DuckDB, Spark, Snowflake or similar analytical platforms

Soft skills

About the company

IXOPAY is an enterprise-grade global payment infrastructure platform offering payment orchestration, advanced tokenization and compliance tools to merchants and enterprises worldwide.