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An AI assistant for your money.

Senior Data Scientist

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Meet Cleo 💙

Cleo is an AI assistant that helps over 2,500,000 people in the UK, US and Canada feel better about their money. Cleo can track your spending, set budgeting and saving goals, automatically save money for you, help you avoid overdraft charges, and a whole lot more - all in an engaging, fun and relevant product voice that is designed to nudge behaviour, tear down conventions about finances, and make money a bit less scary.

The team 🚀

We are a fast-growing start-up, backed by the founders of Skype, Transferwise and Zoopla. In the past year we’ve scaled the team from 6 to 45, launched in North America, closed a $10m Series A led by Balderton (balderton.com/investments) , and scaled to over 2,500,000 users. We are building a world-leading team as we grow, driving us toward 10 million users over the coming 12-18 months. We’re 5 for 5 on Glassdoor, and we’re all based in Angel, just off Exmouth Market.

As Cleo grows rapidly towards 100M worldwide users, the problems we’re trying to solve get more complex. You’ll take the lead in driving our smart, engaged and ambitious team forward, globally.

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

Some of the things you'll get involved with:

* Building 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

What do we look for?

* 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

1. Quick phone call with a member of our team to find out more about your experience and why you want to work at Cleo
2. Short take home challenge
3. Onsite interview
a. Discuss your take home test with the team
b. 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.
* We’ll pay for you to attend data science conferences and continuous-learning events
* Work at one of the fastest growing tech startups anywhere in the world. We recently closed a really successful Series A with Balderton who join a formidable investor base including the people behind Skype, Transferwise, Zoopla, Lovefilm, Climate corporation, SongKick and others.
* 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