Lead Data Scientist

About the role

The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. We are looking for a highly motivated Lead Data Scientist to drive the next generation of AI-powered fraud detection systems.

What you'll do

• This is not just a model development role; it is a strong fit for someone who enjoys working closely with complex data, exploring patterns
• The role is also about identifying practical solutions and implementing them in scalable production systems
• Lead complex AI engineering initiatives while directly contributing to model development, experimentation, system design, and production implementation
• Lead and directly contribute to the design, development, deployment, and optimization of machine learning models for fraud detection, risk scoring, anomaly detection
• Define, build, and guide scalable AI and ML pipeline architecture supporting model training, validation, deployment, monitoring, retraining, and continuous improvement

What you need

• 6–10 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• MLOps
• Spark
• Any graduate

Good to have

• Hadoop
• Databricks
• NLP
• Deep learning
• Prompt engineering
• AWS