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Data Scientist - NLP

Premium Job From Nigel Frank International
Recruiter: Nigel Frank International
Listed on: 8th September
Location: London
Salary/Rate: £55,000 - £65,000
Type: Permanent
Start Date: 5/10/2020

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

Requirements * 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!

Contact Name: Shumon Mia
Reference: TJ/3086/NLP/Data Sci_1599588692
Job ID: 2852565

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