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Data Scientist - Bitcoin - Start-up

Posted 13 March by Harnham Easy Apply Ended

If you have an interest in developing your commercial experience and want to work for the start-up in the cryptocurrency space, then please apply below.

Data Scientist - Bitcoin - Start-up
London
£40,000 - £70,000

THE COMPANY
Our client is looking for a Data Scientist, who is looking to work in start-up environment within an extremely talented team of scientists and engineers.

Currently, this company has gone from strength to strength and the Head of Analytics plans to continue growing the team, as it continues to develop its unique product offering.

THE ROLE :

  • Work alongside the experienced Engineers and Scientists to create ML solutions
  • Provide actionable insight from constantly evolving data-sets
  • Work autonomously on data problems
  • Work on Data Science projects from start to finish
  • Communicate complex data problems to non technical stakeholders

YOUR SKILLS AND EXPERIENCE
The essential requirements of a Data Scientist in this role are:

  • 1+ Year of 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/R/SQL and use of ML toolkits
  • Ability to work autonomously
  • Strong communicator

THE BENEFITS

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

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

Required skills

  • Python
  • SQL
  • customer
  • e-commerce
  • management
  • experience
  • problem solving
  • R&D
  • development
  • research
  • technology
  • programming
  • economics
  • implementation
  • data engineer
  • data science
  • visualisation
  • recommendation
  • deep learning
  • tail
  • deep-learning

Reference: 34670356

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