Senior Data Scientist

Cleo AI ,
London, Greater London
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Overview

Job Description

Meet Cleo Cleo was created to improve your financial health. Already, she's helped 3 million people improve their relationship to money with simplicity and a sense of humour. She's not a bank though. She's an interface for the 99% - an AI assistant defining a new category, one that goes beyond saving up to actually changing how we feel about our finances. Through chat, she provides you with deep insights about your money, while suggesting personalised financial products that increase your ability to save. But it's really our tone of voice that makes us special. We're a product for the next generation. That means we're meeting our users where they are and building the type of relationship they expect. It also means dropping the BS. In 5 years Cleo should be so intelligent, so engaging, that the relationship you have is unlike anything that's come before. Watch this to dive a little deeper The team You'll join the existing data science function here at Cleo; a hotshot team of five dedicated data experts with significant industry experience that is at the heart of everything we do at Cleo. You'll build and deploy in-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 natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale What you'll be doing: * Lead the building of an extraordinary AI assistant to help users understand and manage their money * Actively building and productionising classifiers - no dependencies on engineering teams * Building a cutting-edge natural language assistant * A wide range of ML tasks: NLP, classification, recommender systems * Conducting regular A/B tests across the journey of a Cleo user * Building models of user-segmentation, marketing attribution, customer lifetime value etc. * Working closely with engineers to make sure we collect the right data to produce relevant business insights Check out our office space here About you * At least 5 years of experience in data science or related roles * Ability to write production quality code in Python * Experience deploying machine learning / deep learning algorithms into production * Experience conducting large scale A/B experiments * Experience working with AWS technologies such as EC2, S3, Sagemaker * Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers * A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner * Experience with NLP methods a plus How long will all this take? We aim to move as fast as possible, usually 2 weeks is enough time for us all to get to know each other * Quick phone call with a member of our team to find out more about your experience and why you want to work at Cleo * Short take home challenge * Onsite interview * Discuss your take home test with the team * Meet some of the wider team What do you get for all your hard work? Cleo is an excellent place to work: * An above market compensation package (Base + Equity). We're prepared to pay for the very best * Work at one of the fastest growing tech startups anywhere in the world who are backed by top VC firm, Balderton * The team is exceptional. You'll get to work with brilliantly forward-thinking and dedicated individuals every day * Our mission is standout. We want to radically improve everyone's relationship with money. We're not maximising the time consumers spend in a feed, getting fast food delivered, or building an incrementally better bank. We're changing an industry in a visceral way, which you get to see every day in our customer feedback We're an equal opportunity employer and put a lot of focus on ensuring there is an open environment for everyone

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