Senior Data Scientist

• Lead the design, development and optimisation of advanced AI/ML models to detect, diagnose and predict wind-turbine failure modes
• Apply sophisticated signal-processing, reliability engineering and statistical techniques to large-scale operational datasets
• Develop probabilistic models to estimate remaining useful life (RUL) and component failure risk
• Take ownership of end-to-end model lifecycle, including validation, testing and deployment into production environments

This role directly contributes to making wind energy more efficient and reliable, reducing downtime and maintenance costs, thereby accelerating the transition to renewable energy and combating climate change.

• 5+ years’ experience in Data Science, Machine Learning or a related field, with a strong track record of delivering models in production environments
• Advanced Python skills and deep experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
• Strong foundation in statistics, probabilistic modelling, and/or signal processing
• Experience working with complex industrial or time-series datasets at scale

6-month contract role. Compensation details not specified. Part of Macquarie Group, a global financial services group. Equal opportunity employer.

ONYX Insight is a technology and engineering organisation in the renewable energy sector, providing predictive technology solutions for wind turbines to maximise production and reliability.