Data Scientist, Ravelin

• Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn)
• Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering
• Strong analytical skills
• Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering
• Being skilled at communicating complex technical ideas to a range of audiences
• The ability to prioritise and to manage your workload
• Being comfortable working with a hybrid team
• Experience with Go, C++, Java or another systems language

Desirable

• You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model deployments as easy and error free as code deployments
• The Detection team is core to Ravelin’s success. They work closely with the Data Engineering Team who build infrastructure and the Intelligence & Investigations Team who liaise with clients
• We are currently looking for a Data Scientist to help train, deploy, debug and evaluate our fraud detection models
• Build out our model evaluation and training infrastructure
• Develop and deploy new models to detect fraud whilst maintaining SLAs
• Write new features in our production infrastructure
• Research new techniques to disrupt fraudulent behaviour
• Investigate model performance issues (using your experience of debugging models)