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Senior/Managing Data Scientist - Travel - Price Optimisation


Location:
London
Language(s):
Only English Required
Job Ref:
31172MP
Company:
Harnham
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Job Description

If you have a strong commercial background, and are keen to test your Machine Learning skills in a start-up environment, then look no further.

Multiple Data Scientists - Travel & Transport - Start-up
London
£65,000 - £100,000

THE COMPANY

Our client is looking for an experienced Data Scientist with commercial experience, who is looking to work in a start-up environment and build up a Machine Learning function from scratch.

Currently, this company has proven that their pricing concept is commercially viable, but are looking to scale this up using Machine Learning and big-data techniques.

THE ROLE

  • Work alongside the research function to create ML solutions in Python
  • Provide actionable insight from complex data sets
  • Build models based on the economic principles of price elasticity
  • Help develop and manage Junior Data Scientists
  • Work with C-level stakeholders to develop the commercial strategy

YOUR SKILLS AND EXPERIENCE

The essential requirements of a Data Scientist in this role are:

  • Commercial Experience deploying ML algorithms
  • Willingness to work entirely hands-on using ML techniques
  • Academic background in a scientific/quantitative/economic disciplines
  • Multiple years of coding experience in Python and use of ML toolkits
  • Ability to work autonomously

THE BENEFITS

  • Flexible working
  • Flexible holiday package
  • Latest equipment
  • Trendy Central London Office
  • Competitive salary and share package

KEYWORDS

Python, SQL, e-commerce, economics, data science, data engineer, development, management, research, implementation, programming, visualisation, technology, problem solving, R&D, deep learning, deep-learning, recommendation, experience, customer, tailored, startup, start-up, start up

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Salary Indication
£65000 - £100000 per annum + bonus + benefits + pension
Requirements
Python, SQL, e-commerce, economics, data science, data engineer, development, management, research, implementation, programming, visualisation, technology, problem solving, R&D, deep learning, deep-learning, recommendation, experience, customer


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