Senior Data Scientist

📋 Description

• Analyze large-scale fraud, credit, device, behavioral and digital-interaction data to identify risk
• Develop fraud models, scores, attributes, device profiles and graph-based capabilities for AFS and
• Apply advanced machine learning, graph analytics, deep learning and GenAI methods to complex fraud
• Evaluate and measure value of new data assets.
• Build scalable data pipelines, reusable analytical tools, automation templates and production-ready

🎯 Requirements

• 5–7+ years of relevant experience in data science, AI, predictive modeling or advanced analytics
• 7+ years of experience developing data and automation pipelines and transitioning analytical
• Knowledge in modern ML and deep-learning tooling and LLM and agent-based development frameworks.
• Understanding of when and how to apply regression, machine learning, AI, deep learning, clustering
• Command of model validation, including cross-validation, regularization, Bayesian methods
• Write near-production-level Python code; experience with PySpark and distributed data processing.

🎁 Benefits

• Personal Development - career pathway for professional growth supported by learning and development
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and
• Social benefit package including life insurance, food vouchers, additional health insurance
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid
• Opportunity for Flexible working hours and Home Office.