Location: Norwich  |  Norfolk  |  England
Sector: Data Sciences
Consultant: Franc Botha
Job Reference: FB-NRW
Salary: £50000 - £70000
Job Status: Permanent / Full Time

Do you want to make a difference? Are you ready to lead the change and challenge the status quo? As a key member of the Enablement team you will be analysing and designing our product data to help shape the way our business is run in the future. You will work with the rest of the team to design and create attribution which will help shoppers discover products online.


  • Work with data capture teams to understand operational processes and requirements and translate into data driven solutions
  • Develop machine learning algorithms and models which can be applied to automate textual data content transformation, product attribute derivation and anomaly detection
  • Work with other development teams on using computer vision techniques to automatically detect the various types of information available on grocery products
  • Conduct studies, tests and use advanced data mining and modelling techniques to build solutions that optimize the quality of the company’s data
  • Help to build production-ready data pipelines and data products which can be integrated into line of business applications using APIs
  • Support the business with Ad Hoc reporting requirements
  • Share and document best practices


  • Strong experience in relevant data modeling and machine learning work experience with particular focus on Text classification and Natural Language processing
  • Proven ability to develop and productionise machine learning systems would be beneficial
  • Working experience with relational database management systems (RDBMS) and non relational database management systems and a strong knowledge of SQL
  • Expert level knowledge of Python, R or other relevant programming language
  • Strong English and communication skills; experience collaborating with and presenting to internal and external stakeholders with both low and high understanding of Data Science
  • Passion for analysing and extracting meaning and value from large data sets
  • In depth knowledge of the advanced techniques and tools common to the data science world such as Scikit-learn


  • Working with the global market leader in eCommerce content and data services
  • To be part of a diverse and talented international team with the opportunity for personal and professional development
  • Shape our digital agenda in an evolving industry
  • A growth culture with an entrepreneurial mindset supported by a world-leading operation