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 turbinesUsing a combination of signal processing, ML, and reliability-focused approaches on operational dataDeveloping probabilistic models to assess component health and predict remaining useful lifeTurning complex outputs into clear, usable insights for engineering and operational teamsWorking closely with data and engineering teams to help move models into live environmentsSupporting validation, testing, and responsible use of AI solutionsWhat we''re looking for:Around 3+ years'' experience in a data science or similar roleStrong Python skills, particularly with libraries like NumPy, pandas, and SciPyExperience with ML frameworks such as scikit-learn, TensorFlow, or PyTorchA track record of working with messy, real-world datasets (ideally in industrial ..... full job details .....