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Data Engineer - NLP

Apply 2020-11-24 10:00:05 2021-09-24 Henlow

Data Engineer - NLP

Date posted: November 24, 2020
£55000 - £65000 per annum
London, United Kingdom
Job description

Data Engineer - NLP

Up to £65,000


Fully Remote Recruitment Process

Data Science| Remote Interview | Progression Opportunities | Relaxed Working Environment | Software Company

A leading data engineering consultancy are seeking a Data Engineer - NLP to join their rapidly growing worldwide team. This is a very exciting opportunity to join a revolutionary consultancy. If you're experienced in an agile working environment and understand the importance of delivering customer value then this could be your next role!

This is really a company that prides themselves on innovation. They are constantly utilising technology to solve real problems for their customers. This is a great opportunity for any Data Engineer looking to work along side the very best.

Key Responsibilities
  • Work alongside Data Scientists to execute strong and reliable data to support high performance
  • Help design, build, maintain and operate the data pipeline
  • Create and launch new data pipelines across the team with a robust focus on the Product, Growth and Retention areas
  • Present the results of your analyses
  • Mentor and support junior members of the team

  • Education Level: Degree in a Scientific/numerical discipline (Masters or Bachelors is preferred
  • Experience of working with Data Engineers and Data Scientists within an agile environment is a must
  • You have ideally been worked with product development using different machine learning methods such as random forrest or NLP
* Experience Level: Data cleansing experience as well as analysing and visualising data in R or Python.
* Commercial experience working with NLP
* Exceptional analytic, quantitative, problem-solving, critical thinking and communication skills

If you think this is the next exciting opportunity for you - apply today!

Henlow is acting as an Employment Agency in relation to this vacancy.

Reference: DE/NLP/24/11/SM_1606212004

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