Senior Customer Scientist - R/Python/SQL - .com Brand

07 Feb 2017
07 Mar 2017
Contract Type
Full Time

Senior Customer Scientist - R/Python/SQL - .com Brand

up to £70,000 + Benefits


This leading .com brand are looking to add to their customer science analytics team who provide pivotal analytical insights for the business. You will be working with one of the most prestigious analytics teams in London, therefore on offer is an incredible opportunity where you will learn and develop your analytical skills from the best in the market! This is a key role within the team therefore the right candidate will have a highly numerical degree, strong statistical skills in R/SAS/Python/SQL and the ability to draw key insights from complex data.

THE ROLE - Senior Customer Scientist:

  • Through the use of advanced analytical tools such as R and Python you will perform deep-dive analytics and data mining to provide complex analytical insights
  • Working within the advanced analytics team you will use your statistical knowledge to provide innovative methods for customer engagement
  • Introduce complex analytics to senior stakeholders across the business and create actionable insights to support strategic decisions
  • You will be able to take on the responsibility of leading projects therefore offering you the opportunity to really progress within your career


  • Exceptional R modelling skills and SQL coding ability
  • Ability to build models such as linear regressions and propensity models
  • You must be analytically minded with the ability to work with large volumes of data
  • Exceptional communication skills and the ability to engage with challenging stakeholders
  • 2:1 or above in a numerate degree
  • A strong analytical background

SALARY AND BENEFITS - Senior Customer Scientist:

Up to £70,000 + a substantial benefits package

HOW TO APPLY - Senior Customer Scientist:

Please register your interest by submitting your CV via the Apply Link on this page.For further information please contact Faye Sheldrake at Harnham.

Key words:

SQL, R, Insight, Analyst, Customer, Regression, Propensity, Analytics, Recommendations, Strategy, Personalised, Campaigns, Data, Analysis, Statistical