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195001 Requisition #
Experian is recruiting a Data Analyst to join our Data Science Team based in Nottingham.

The Data Science Team build and maintain many of Experian Marketing Services data products, including flagship products such as Mosaic, globally.  The team consists of 11 Analysts / Scientists who offer a wealth of experience driving valuable and actionable insight from a variety of data sources, working with the wider product development group to deliver powerful solutions to our clients, allowing them to run their businesses effectively.

This role offers an excellent introduction to Data Science in a commercial setting. The successful applicant will be joining an experienced team, building and maintaining Experian’s range of geo-demographic data products, helping our clients across the globe better understand and serve their customers. You will develop your skills in the necessary Machine Learning techniques and coding languages to set you up to build technically excellent and commercially successful products in the future.

What we’re looking for:
  • An understanding of the real problems faced by businesses in understanding their customers
  • Very strong numerical skills, including in depth knowledge of the theory of statistical techniques, of the kind likely to be covered in a degree with significant statistic content.  This will enable you to recommend appropriate techniques in given situations, and then go ahead and carry out these techniques
  • Foundation knowledge of a common data processing and modelling language (SAS, R, Python, SQL) desirable
  • Awareness of current trends in Data Science, and the ability to keep this knowledge up to date in a fast-developing field
  • Excellent interpersonal and communication skills, including the ability to explain complex methodologies and results in a way that allows non-technical stakeholders to make decisions
  • Attention to detail
  • Willingness to question and learn
  • Ability to take responsibility for their own work, whilst also collaborating effectively with the rest of the team

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