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Graduate Data Scientist | £30-40k | Sports Betting | Central London | Easy Apply

11th February, 20:29

Our client is a specialist in sports betting analysis. Their clients rely on them to maximize their returns, requiring a clever, fast and well organised approach.

There are endless opportunities here that best suit talented individuals who want management to get out of their way while they make stuff happen - creatively and reliably. Such people are really valuable and can be kept busy, interested and rewarded.

This is a permanent position, based near Kings Cross, Central London, paying £30-40k per annum.

The Role:

Over the past 15 years the technology at the heart of our business has produced consistent and significant returns for our clients. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class betting models while also researching and deploying new ones.

Our work bridges three domains, each challenging in its own right - betting and gambling, quantitative research and software development. The nature of our work and the relative immaturity of modern betting markets means opportunities to exploit are not in short supply. But people with sufficient skill and versatility to attack these projects are hard to find! So we are always looking for graduates or working practitioners in any technical discipline with an aptitude for analysing betting markets or for writing software to bet into those markets. Our very best people combine those skills with the capacity to see projects through from start to finish, and much else besides.

The successful candidate will join a team which develops solutions to efficiently participate in publicly available games of chance. These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. We use a variety of programming languages and we believe in using the right tool for the right job.

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