Lead Machine Learning Engineer, Cleo

• At least 4 years of experience in data science, ML engineering or related roles
• Ability to write production quality code in Python and SQL
• Experience deploying machine learning models into production
• Track record in payments, pricing, or other business process optimisation problems
• Comfortable with complexity & developing a holistic understanding of a system in order to propose & build solutions
• A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner

Desirable

• You’ll join the existing Data Science function here at Cleo; a thoughtful and collaborative chapter of 20 dedicated data scientists & ML engineers, with significant industry experience that is at the heart of everything we do at Cleo
• You’ll build and deploy production models that developers will feed directly into the product
• This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding patterns in users’ cashflow, scoring credit risk, or determining which of Cleo’s features is best suited to a user. We have interesting problems to solve on an ever-increasing scale
• You'll take ownership of the intelligent optimisation of payments, a significant workstream that has a direct impact on the company's financial performance
• Your role will involve collaborating closely with others in your cross-functional team to investigate and comprehend business issues
• You will use your analytical abilities to generate potential solutions and employ machine learning techniques to enhance processes
• In the longer term, the role could incorporate other ML applications such as fraud detection and credit risk
• Improving our current machine learning models and deploying into production
• Actively building and productionising classifiers - no dependencies on engineering teams
• Collaborating with various departments within the organisation, including product, operations, and commercial, to leverage machine learning and analytics in order to uncover opportunities for optimization
• Carrying out deep analysis into the core aspects of how Cleo runs to be able to fully understand the levers and propose opportunities to improve
• Working closely with engineers to make sure we collect the right data to produce relevant business insights