Staff Data Scientist - Fraud

Requirements:

• Highly skilled in data science and machine learning
• Experience in developing and deploying machine learning models
• Expertise in neural networks, anomaly detection, graph-based models, Transformers
• Strong background in data strategy and management
• Excellent communication skills for reporting complex data findings

What You'll Be Doing:

• Innovate and Develop: Lead the development and deployment of machine learning models
• Lead and Collaborate: Mentor team members, collaborate with cross-functional teams
• Deploy and Integrate: Develop scalable deployment strategies, integrate models with AI agents
• Optimise and Evaluate: Conduct training and hyper-parameter tuning, define performance metrics
• Data Strategy and Management: Design and implement data strategies for robust model training
• Documentation and Reporting: Communicate data findings effectively, document processes

Perks and Benefits:

• Work with cutting-edge technology
• Contribute to a globally scalable fraud prevention engine
• Collaborate with software engineers, data analysts, and fraud investigators