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Data Scientist

CBSbutler c/o Staffing 360 Solutions Limited
Horsham, UK
Closing date
3 Feb 2021

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Technology & New Media
Contract Type
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Job Details


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:

Identify, develop and implement end-to-end applications of data science and machine learning techniques to optimise the operations of the Test Department
Communicate project proposals, progress and reports to the Test Strategy Team Lead and other areas of the business
Extract insights from test data and pursue improvements in its value to the business
Develop predictive maintenance models for test infrastructure data in order to minimise component failures and ensure availability of critical infrastructure, thereby improving test stand uptime
Advance the continuous validation of analytical models used in the development of core technology
Collaborate with the Data Analysis and Business Systems teams to develop and maintain software tools and databases for data analysis and visualisation
Develop and proactively maintain live data models and visualisation toolsSkills and Knowledge (essential and desirable):

Minimum of 3 years experience developing and implementing machine learning tools in an engineering, product development or industrial environment
BSc or MSc in engineering, computer science or a related field
Certifications or qualifications in data science, artificial intelligence or machine learning topics
Knowledge and experience of Matlab and relational database languages, e.g. SQL
Excellent at producing complex data visualisations and presenting data intuitively
Clean and disciplined approach to coding, documentation and version control
Excellent written and oral communication skills
Knowledge and experience of Python
Experience of using cloud-based data and machine learning tools
Knowledge of Six Sigma statistical techniques and measurement uncertainty quantificationClick "APPLY NOW" to find out more
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