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Data Scientist

Up to £80000 per annum
Apply2019-11-01 09:23:192020-10-10GCS Recruitment

Data Scientist

Date posted: November 1, 2019
Up to £80000 per annum
Job description

Remote, need to be in Cambridge once a week

PhD educated

Good python skills

Working on projects for both amazon and NHS

Machine learning experts

The Role
To work on a greenfield IOT warehouse management system.

The Person
You will be a problem solver above all else, open to using new technologies and have an R&D mind-set. Strong academics help.

The Requirements

  • MSc or PhD in a quantitative or technical discipline (Computer Science, Maths/Statistics, NatSci, Engineering or similar)
  • Proficiency in Python
  • Understanding of statistical analysis
  • Experience with and ability to use machine learning techniques to achieve a useful and verified outcome (e.g. cost saving)
  • Experience with working on large data sets and data preprocessing/wrangling
  • Familiarity with SQL databases and backend systems is a plus
  • Strong organisational and self-starting skills, happy to work in a team and regularly communicate the results using data visualisation tools if necessary


  • Time-series forecasting (e.g. auto-regressive models)
  • Probabilistic machine learning (e.g. Gaussian processes)
  • Discrete event simulation (e.g. SimPy or pure Python). Experience with simulation in general, even if not discrete event simulation, is considered an advantage.
  • Discrete optimisation (e.g. genetic algorithms, branch & bound, constraint programming), demonstrating capacity to implement customised algorithms (as opposed to using standard, off the shelf methods).

The Team

  • The brightest in the industry, location not being a factor they have gathered great problem solvers, mathematicians and scientist to work on this greenfield project.

The Project

  • Large logistics / warehouse solutions

The Location

  • Remote, 1 day fortnightly in the Cambridge Office.

GCS Computer Recruitment Services is acting as an Employment Agency in relation to this vacancy.

Reference: 0011231531_1572600198

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