Staff Data Scientist - Fraud

Requirements

• Highly skilled in data science and machine learning
• Experience with developing and deploying machine learning models
• Proficient in neural networks, anomaly detection, graph-based models, and Transformers
• Strong background in data strategy and management
• Excellent communication and documentation skills

What You'll Be Doing

• Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers.
• Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into Fraud prevention product offerings.
• Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use.
• Optimise and Evaluate: Conduct large-scale training and hyper-parameter tuning, and define performance metrics to ensure high-quality model outputs.
• Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training.
• Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features.

Perks and Benefits

• Not specified