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Data & Technology

London
Up to £60000 per annum
Permanent
  • Admin User Bio Image
  • Your Consultant
  • Ross Whatling
  • Senior Recruitment Consultant
  • LET'S TALK TODAY!
  • +44 20 8408 6070
  • MY EMAIL
  • rosswhatling@harnham.com

Python Developer - Web Scraping

Python Developer - Web Scraping
Central London
£35,000 to £60,000

A business doing ground-breaking and confidential Data Science work in their sector are looking a Python Developer to scrape web data to facilitate advanced analytics. The team use a wide range of advanced techniques including Deep Learning for NLP and Image recognition and web scraping to access large and messy data sources to give them an advantage over their competitors. Their Data Science team are some of the best professionals on the market and the Head of Analytics reports directly to the owners. The aim is to grow an equivalent team of 6 Data Engineers to partner with the Data Scientists to improve the quality and efficiency of their solutions.

If you are a Python Developer interested in doing genuine pioneering work in analytics and their industry sector, this could be the role for you.

YOUR ROLE AND RESPONSIBILITIES

As Python Developer, you will:

  • Work with Data Scientists to gather requirements, and build custom tools for web scraping in Python
  • Access multiple data sources including web, image, and others
  • Promote strong coding practice in an Agile environment

YOUR SKILLS AND EXPERIENCE

To qualify for the Python Developer, you will need:

  • Strong Python programming skills, with an open mind to using other languages
  • Excellent knowledge of Databases and SQL
  • Ideally knowledge of AWS
  • An interest in the most advanced data science techniques on the market, e.g. Deep Learning, image recognition, NLP, Web Scraping
  • Strong academic background

HOW TO APPLY

In order to apply for this Python Developer role, please do so via this site. For more information, reach out to Ross at Harnham.

KEYWORDS: Python, R, AWS, SQL, Deep Learning, NLP, Data Science, Data Engineering