Data Science Manager, Ravelin

• Minimum of 1 year of experience as a data science or engineering manager, managing at least 3 people
• You are a strong collaborator with colleagues outside of your immediate team, for example with client operations teams, product, engineering and with senior leadership
• You know how to manage and retain talented engineers and data scientists from a diverse range of backgrounds and personalities. You can handle difficult management situations with tact, empathy and support
• You have significant experience building and deploying ML models using the Python data stack
• You understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering

Desirable

• We are currently looking for a Data Scientist to line manage data scientists and ML engineers and drive innovation across our suite of fraud detection products
• You’ll work closely with product, engineering and our operations teams to develop ML models and ML products and deliver them to current and future clients
• Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures
• You will hire, coach and develop a talented data science team to deliver on the ML product roadmap
• You are in your element working with people
• You’ll partner closely with senior members of Detection to discover new avenues for ML product innovation
• From time to time, you’re excited to even do some software or model development yourself
• Act as a leader in establishing excellence across data science and within the detection team
• Line manage a team of data scientists - providing coaching and guidance in support of the ongoing development and growth of your team
• Research new techniques to disrupt fraudulent behaviour
• Investigate model performance issues
• Develop and deploy new models to detect fraud whilst maintaining SLAs
• Liaise with product, engineering and operations to question your assumptions and ensure we make the right ML product decisions
• The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously developing, training and deploying machine learning models
• 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