Data Scientist

  • Ocado
  • Ocado Head Office, Hatfield, UK
  • 20/12/2018
Full time Data Science Data Engineering Machine Learning Data Analytics Data Management Statistics Software Engineering

Job Description

Ocado Technology is the technological arm of Ocado, the largest online-only grocery retailer in the world. Ocado employs a unique business model based on automated customer fulfilment centres. It has over half a million active shoppers and ships over 200,000 orders per week, delivering within one-hour time slots selected by customers.
Here at Ocado Technology we architect and build the ground-breaking, game-changing technology solutions that power Ocado and enable its success in the grocery retail market. An increasingly important part of this success is deriving value from the vast volumes of data generated by the business.

Who are Data Science?

The data science group at Ocado consists of 10 data scientists, 3 insight analysts and 2 software engineers across two teams at our head office in Hatfield. It is responsible for designing cutting-edge machine learning and optimisation techniques to convert data into important business insights and efficient operations.

We work on machine learning and optimisation problems across Ocado’s business - from recommending products to customers on our website to demand forecasting and route optimisation. Our data is stored in Google BigQuery, we work primarily in Python with some Java/Scala and use frameworks such as Spark and TensorFlow.
We are looking for a Data Scientist to join the group. And we are interested in both experienced data scientists and those at the beginning of their career.

What will you do?

As a Data Scientist, you will work closely with the team lead and senior management to scope, plan and manage projects, support the hand-off of prototype systems and algorithms to operational Technology teams, and effectively communicate complex technical issues and findings to a range of technical and non-technical internal audiences.

You will work on projects in all the areas touched by data science, dealing with real problems and having a real impact on the operational performance of the company. You will be given a high level of autonomy in how you approach these problems, and will be encouraged to research and seek out innovative solutions.

Communication is key; you will be in constant contact with business stakeholders and will need to work with developers both within the team and in other technology teams to ensure that your solutions are properly productionised and can be supported.

What we would like you to know:

  • A strong academic record including a postgraduate degree in mathematics, statistics, or the sciences from a top-ranked university.
  • Demonstrated computer programming ability including fluency in two or more of Python, Java (or equivalent), and SQL.
  • Experience conducting analysis on large data sets and providing rigorous interpretations of the results.
  • The ability to model complex problems mathematically and/or computationally, and appropriately apply results obtained using those models.
  • A good understanding of key statistical concepts.
  • Machine learning experience.

We would also like to hear from you if you have:

  • Successfully conducted research of significant scope – an M.Phil. or Ph.D. will be looked on favourably.
  • Cluster computing data processing frameworks (e.g. Spark)
  • Common machine learning toolkits (e.g. scikit-learn)
  • Deep learning frameworks (e.g. TensorFlow, Theano, Torch...)

What we can offer you

Technically stretching work is a given. We want you to push technological boundaries and create solutions to problems people haven’t even thought about yet; so we’ll give you the freedom and the tools and the playful, stimulating working environment you need to do what’s never been done before. While red tape’s conspicuous by its absence, rewards are plentiful: as well as a competitive salary, benefits include pension scheme, share option scheme, interest-free season ticket loan and, of course, a healthy 15% Ocado staff discount (and free delivery). 

Find out more about Ocado Technology at http://www.ocadotechnology.com

Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.

Due to the fast-paced nature of Ocado's business our vacancy close dates may be subject to change.