Opportunity Description
Data Scientist | Outside IR35 | 6 Months | £400 - £450 |
You’ll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale, real-world datasets — including high-frequency vibration signals, SCADA data, and historical turbine failure records.
This is a very hands-on role, centred around building, testing, and implementing models that deliver meaningful, practical insights for wind farm operators.
What you’ll be doing:
Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines
Using a combination of signal processing, ML, and reliability-focused approaches on operational data
Developing probabilistic models to assess component health and predict remaining useful life
Turning complex outputs into clear, usa...
You’ll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale, real-world datasets — including high-frequency vibration signals, SCADA data, and historical turbine failure records.
This is a very hands-on role, centred around building, testing, and implementing models that deliver meaningful, practical insights for wind farm operators.
What you’ll be doing:
Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines
Using a combination of signal processing, ML, and reliability-focused approaches on operational data
Developing probabilistic models to assess component health and predict remaining useful life
Turning complex outputs into clear, usa...
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