Data Scientist
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, usable insights for engineering and operational teams
- Working closely with data and engineering teams to help move models into live environments
- Supporting validation, testing, and responsible use of AI solutions
- Around 3+ years’ experience in a data science or similar role
- Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy
- Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
- A track record of working with messy, real-world datasets (ideally in industrial settings)
- Comfortable operating in fast-paced environments with some ambiguity
- Able to communicate technical findings clearly to non-technical audiences