Business facing Data Scientist required for high growth big data firm - expanding from the US


You will work for an exciting and award winning company, predicting the future through their proprietary analytics platform. They are a group of imaginative, high-energy people that are fanatical about what they do. They are currently building predictive models for Fortune 500 companies, leading research institutions, banks and major insurers in the US and now looking to expand their offering into Europe. 


Working with this elite company you will continuously strive to be the best data scientist possible, whilst working closely with clients to provide specific solution as well as helping with specific complex analytical needs. This is very much a client facing role and you will be required to lead technical demonstrations of the company’s platform and provide tailored solutions and services to C-level.  In short you need to be technically gifted and commercially minded, a rare combination but one that in this firm will be rewarded well.


You will be a proficient customer facing data scientist / consultant, joining a team of the best data scientists in the world literally, there are multi-competition winners and leading academic on board as well as the cream of the crop from industry). You’ will have worked with a number of predictive modelling techniques and be proficient with and comfortable picking up new programming languages (SQL, Hadoop, Python in particular) and most likely have a strong technical education from a leading University. 


Keeping work fun, our client has fantastic in-house office perks! From Ping Pong and foosball to massage days and P90X. You will furthermore benefit from a very competitive salary, share options, annual bonuses and lavish health benefits. If that wasn’t enough, you will also have your lunches and dinners provided daily, and more.

If you’ve gotten this far, you must have liked what you’ve read. So get in touch and we can discuss in more detail about this fantastic opportunity:

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