The Role

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.

Key Responsibilities

• 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 c...