Data Scientist

London, England, United Kingdom · Data Science expand job description ↓

Description

FutureLearn is a social learning network that offers a diverse selection of free, high quality online courses from over 100 of the world’s leading universities and other outstanding cultural institutions such as the British Museum, the BFI, the BBC and the British Council. Since we launched at the end of 2013, over 5 million learners have registered from all over the world.

FutureLearn’s vision is to give everyone, everywhere access to learning so that they’re able to solve both personal and world challenges. Our mission is to pioneer the best social learning experiences, which are flexible, effective and rewarding. FutureLearn is an independent commercial company, wholly owned by the UK’s Open University.

FutureLearn is expanding its offer to deliver online degrees and enhance the experience of students learning on campus using FutureLearn.

FutureLearn is backed by the Open University and based in Camden. We offer free online courses run by many leading universities from around the globe.

We're looking for an enthusiastic, collaborative person who loves working with other people and their data to find answers to tricky problems. Once you find an answer you'll be great at communicating those findings in a way that other people understand, but you won't be scared to roll up your sleeves and write some production code if you need to. To help people find this advert, we're calling you a Data Scientist; you might call yourself something different at the moment. But if you think you can help, we want to hear from you.

We're faced with a large number of fascinating problems, many of which you'll be working on, and many more will be discovered over time. Currently we are interested in:

  • Using data about our learners' interests and behaviour to help them to find courses that they will love, which in turn supports the growth and sustainability of our business.
  • Developing a more sophisticated ability to set pricing, forecast sales and predict long term revenue as we expand our B2C offering with additional products, or services
  • Improving our social learning experiences by connecting learners and educators together to foster meaningful conversation.
  • Understanding how to measure learning (or proxies for it), and how to use that data to improve our courses.
  • Building a data platform to support analysts within FutureLearn, and to enable our partners to conduct world-leading research through their courses.

Requirements

We are looking for people who are:

  • Data literate and scientific with experience in start-up, commercial and/or academic settings. Experience working in the retail, finance or e-commerce industries would be useful but not required.
  • Good communicators, both verbal and written. Part of your role will involve informing the rest of the business and explaining the implications of your research and insight.
  • Able to use statistical / machine learning approaches to solve practical problems. Being able to do so in R or Python would be great.
  • Knowledgeable about experimental design. In particular, having a considerate approach to shaping and running pricing experiments, in order to draw confident conclusions from relatively small data sets.
  • A good programmer who can take ideas, with support and help from your team, from research to production. We currently use Ruby and Python in our data and production application systems, and work with Postgres, Redshift and MySQL databases, but we value transferable skills and learning new things.
  • Curious, self-motivated and adaptive. Our data team is small, with a wide variety of interesting challenges across the whole business.
  • Always learning. We build a learning platform that we use ourselves, and have time and space to continue our own professional development.

Please be aware that this is not a remote working role and no recruitment agencies please

Benefits

  • £40,000 - £60,000 per annum
  • 28 days holiday (plus 8 days public holiday)
  • Buy & sell up to 5 days holiday
  • Charity day (volunteer for a charity of your choice)
  • Pension (4% employer / employee contribution)
  • Childcare tax vouchers, parental leave, season ticket loans, Cycle To Work scheme
  • Flexible working environment/hours
  • You get to choose your own computing environment
  • Attend conferences and training relevant to your development
  • Buy any tech books, screencasts and magazines that you need
  • Lots of other perks like discounted gym membership, cinema tickets and free tastecard/restaurants

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