To study customer behavior pattern to define correlations and sequential patterns 


  • Identify meaningful data that describes customers behavior from different angles
  • Explore data to highlight exceptions
  • Use different data mining techniques to segment customers


  • In final year or completed a Degree or Masters in Science in Business Analytics, Analytics (for Mathematical Sciences Students) or equivalent
  • Knowledge where to apply and how to evaluate results of statistical, ML and data mining techniques: preprocessing techniques, regression, classification, decision tree and time series models as core of experience; clustering and geospatial as a plus 
  • Fluency in SQL and Python, Java and Scala as a plus
  • Good oral and written English