Data Scientist, Lendable

• Experience using Python and SQL
• Strong proficiency with PyData stack
• Knowledge of machine learning techniques
• Confident communicator and contributes effectively within a team environment
• Self driven and willing to lead on projects / new initiatives

Desirable

• Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value
• Rigorously search for the best models that enhance underwriting quality
• Clearly communicate results to stakeholders through verbal and written communication
• Share ideas with the wider team, learn from and contribute to the body of knowledge
• Our team’s objectives:
• The data science team develops proprietary risk models which are core to the company’s success
• We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
• We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team
• Join us if you want to:
• Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
• Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

• A phone call with one of the team
• An exercise to complete in your own time
• Onsite Interview:
• Discuss the exercise you completed
• Meet the team you’ll work with daily
• Meet the exec team