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NLP Data Scientist at Jefferson Frank

NLP Data Scientist

Jefferson Frank City of London, Greater London Full-Time
£55,000 - £65,000 / year
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Data Scientist - NLP

Up to £65,000


Fully Remote Recruitment Process

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

A leading software company are seeking a Data Scientist - NLP to join their rapidly data science team. This is a very exciting opportunity where by you will have the chance to work with patented machine learning methodologies, to further enhance and develop an award-winning application.

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 Scientist looking to work along side the very best.

Key Responsibilities

* Focus on data extraction and apply different machine learning methods to increase accuracy
* Collaborate with Product and Engineering teams to integrate successful solutions into large-scale, production systems Analyse raw data
* Maintain as well as enhance their machine learning and AI models
* Visualise results and generate new insights
* Present the results of your analyses Position


  • 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.
  • Experience with Pytorch
  • Exceptional analytic, quantitative, problem-solving, critical thinking and communication skills

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


Recommended skills

Natural Language Processing
Complex Problem Solving
Critical Thinking
Data Science
Data Cleansing
Apply to this job.
Think you're the perfect candidate?
Apply Now

Job ID: DS/29/09/SM