Data Scientist, Nottingham

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets.

You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data.

The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators.

• Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes
• Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data
• Build probabilistic models to estimate remaining useful life (RUL) and component failure risk
• Translate analytical outputs into clear, actionable insights for engineers and operational stakeholders
• Collaborate closely with engineers and data teams to support deployment into production environments
• Contribute to model validation, testing and responsible‑AI practices

• 3+ years’ experience as a Data Scientist or similar role
• Strong Python skills (NumPy, pandas, SciPy) and experience with ML frameworks such as scikit‑learn, TensorFlow or PyTorch
• Experience working with complex, real‑world industrial datasets
• Comfortable working at pace and dealing with ambiguous problems
• Able to clearly communicate technical findings to non‑technical stakeholders

Experience within wind energy, rotating machinery, condition monitoring or reliability engineering is highly desirable, but not essential.

ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.