Data Scientist R&D

Recruiter
Harnham
Location
London
Salary
80000.0000
Posted
14 Feb 2017
Closes
14 Mar 2017
Contract Type
Permanent
Hours
Full Time

Data Scientist | R&D

Senior Data Scientist
London
£80,000 + £9,000 travel allowance

THE COMPANY

Harnham are working with one of the most exciting online tech companies worldwide in building a central R&D function for the business from scratch. The long-term goal of this Data Science team will be to utilise the latest techniques in machine learning and artificial intelligence to automate as many internal processes as possible, ultimately to give customers and improved experience and to deliver valuable business insight. You will work with huge sets of data and be the team responsible for solving the hardest analytical and business problems posed to the business.

THE ROLE - DATA SCIENTIST

You will be:

  • Developing and implementing custom algorithms across the website for the company
  • Supporting and optimising the recommendation algorithms already in place
  • Research, exploring data sets and carrying out proof of concept work
  • Manage junior member of the team

YOUR SKILLS AND EXPERIENCE - DATA SCIENTIST

You must have:

  • An MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Artificial Intelligence or Mathematics
  • Experience of working with large volumes of data (preferably online data)
  • Experience in programming languages such as R/Python/Scala
  • A knowledge of querying languages such as SQL/Hive is advantageous
  • Work experience with Hadoop or a similar platform is desirable

THE BENEFITS

£80,000 + £9,000 travel allowance + pension + healthcare

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEYWORDS

R, Python, Pandas, Scala, SQL, Hive, Hadoop, Spark, Machine Learning, Statistics, Artificial Intelligence, Mathematics, AWS, Kafka, Azure, Algorithm, Optimisation, Recommendation System, Research, Pricing, Marketing, Online, Data Scientist, Data Science, Predictive modelling, Forecasting.