Data Scientist
Actively Hiring
Full-time Posted 3 months ago
Role overview
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.
Responsibilities
- check_circle Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes
- check_circle Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data
- check_circle Build probabilistic models to estimate remaining useful life (RUL) and component failure risk
- check_circle Translate analytical outputs into clear, actionable insights for engineers and operational stakeholders
- check_circle Collaborate closely with engineers and data teams to support deployment into production environments
- check_circle Contribute to model validation, testing and responsible‑AI practices
About the company
- check_circle 3+ years' experience as a Data Scientist or similar role
- check_circle Strong Python skills (NumPy, pandas, SciPy) and experience with ML frameworks such as scikit‑learn, TensorFlow or PyTorch
- check_circle Experience working with complex, real‑world industrial datasets
- check_circle Comfortable working at pace and dealing with ambiguous problems
- check_circle Able to clearly communicate technical findings to non‑technical stakeholders
Tags & Focus Areas
Machine Learning Data Science Ai