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Geospatial Data Scientist

Geospatial Data Scientist

GEOSPATIAL DATA SCIENTIST

UP TO £80,000

COVENTRY (hybrid)

If you're a GIS expert, this is an excellent opportunity to utilise your skills to help answer business questions and make an impact!

THE COMPANY

This is a leading real estate firm that primarily operates B2B, supporting a range of businesses and organisations across the UK. They are keen to best utilise GIS and Geospatial Analytics to drive business growth.

WHAT WILL YOU GET TO DO?

As a Geospatial Data Scientist, your role will involve:

  • Analysing data to understand population demographics and location success, and forecasting site viability for new locations
  • Utilise advanced analytics and data science to drive decision making
  • Generate actionable insights to maximise value from geospatial datasets
  • Utilise web-scraping to gain greater insights on European investments
  • Communicate key reports in Power BI and share insights to different business areas

WHAT'S NEEDED FROM YOU

The successful candidate will have the following skills and experience:

  • Previous experience in GIS/geo-spatial analytics
  • Commercial experience in Python for Geospatial work (ArcGIS, Arcpy, Geopandas)
  • Data visualisation experience, preferably in Power BI, for reporting and dashboarding
  • Great communicator, able to convey complicated technical terms in digestible language

WHAT'S IN IT FOR YOU?

  • Up to £80,000 base annual salary DOE (potential flex for the right candidate)
  • Hybrid working - 3 days a week in the Coventry office, potential visits to the London HQ too
  • Wider benefits including pension, bonus, etc.
  • Work for a business where L&D is a strategic priority, focusing on your upskilling for the future!

HOW TO APPLY

Please register your interest by sending your CV to Alanah Chambers via the apply link on this page.

Please note, the company is unable to offer sponsorship on this occasion, so please do skip this one if it's something you require.

Required skills

  • ArcGIS
  • GIS
  • Python
  • SQL
  • Excel
  • data
  • location analysis
  • analysis
  • forecasting
  • insight
  • demand planning
  • geospatial
  • geospatial analytics
  • geospatial analysis
  • GIS data science

Reference: 52598833

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