• Job ref:


  • Location:

    Horsham, West Sussex

  • Sector:


  • Job type:


  • Salary:

    £40000 - £45000 per annum + 25 days a.l., Pension, Life Assurance

  • Contact:

    Lada Madlova

  • Email:

  • Published:

    5 months ago

  • Start date:



Horsham, West Sussex


Salary: £40, 000 - £45, 000

A specialist organisation pioneering the way in state-of-the-art fuel cell technology are seeking a Data Scientist to support the business to enable the development of solid oxide technology.

Key Responsibilities:

  • Translate design verification and product validation requirements supplied by product development teams into executable test plans
  • Collaborate with the Test Operations team during planning and execution of tests to overcome test hardware limitations and resolve data quality issues
  • Apply advanced statistical methods such as design of experiments and hypothesis testing to assess and optimise test plan designs
  • Apply advanced data analysis and machine learning techniques to process test data and derive statistically sound test results
  • Advise the processes of design verification and product validation on best statistical practices and continuous improvement of the quality of test measurement data
  • Collaborate with the Data Analysis team to develop and maintain software tools and databases for test data analysis
  • Communicate test plans and test results to project teams in presentations and reports

Skills and Knowledge (essential and desirable):

  • Minimum of 5 years experience in the application of statistical methods in a product development and test environment
  • BSc or MSc in a quantitative field, such as statistics, mathematics, physics or an engineering discipline
  • Knowledge and experience with a statistical analysis software tool, such as Minitab
  • Experience in Matlab
  • Qualification or demonstrable knowledge in Six Sigma statistical techniques
  • Excellent written and oral communication skills
  • Knowledge and experience in Python, R and SQL
  • Knowledge of machine learning techniques and tools
  • Familiarity with methods to quantify and express measurement uncertainty

Click "APPLY NOW" to find out more!