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Data Scientist
  • SQL
  • SAS
  • Excel
Next PLC
156 days ago
About the Role:-
  • Work with teams from around the business to understand problems and opportunities and gather requirements for model building.
  • Interrogate large volumes of data from a range of sources, including transactional, demographic and online, to collect data for modelling.
  • Use SAS Enterprise Miner to build predictive models and segmentations.
  • Work with the marketing team and selections analysts to design and implement tests to prove the value of predictive models.
  • Present model findings and analysis to a range of audiences.
  • Proactively identify opportunities for personalisation and improvements to the customer experience.
  • Support the wider team with ad hoc insight and analysis when required.

  • Understanding of data science techniques covering regression, classification and segmentation problems.
  • Strong SAS and SQL skills, ideally with experience of SAS Enterprise Miner.
  • Excellent communication skills - comfortable presenting to a range of audiences and tailoring content accordingly.
  • Good time management skills with the ability to manage multiple deadlines and priorities.
  • Experience using clickstream data would be beneficial.

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