Senior Data Scientist
Actively Hiring
Full-time Posted 2 months ago
Role overview
As a senior member of the team, you will lead the development and delivery of advanced analytics solutions, working at the intersection of data science, engineering, and domain expertise. You will take ownership of high‑impact modelling initiatives, applying state‑of‑the‑art machine‑learning and signal‑processing techniques to complex, real‑world datasets.
You will work with high‑frequency vibration data, SCADA data, and turbine failure records to build models that directly influence operational decision‑making for wind‑farm owners and operators.
This is a hands‑on, delivery‑focused role with significant autonomy, where you will be expected to drive solutions from concept through to production‑ready deployment.
Responsibilities
- check_circle Lead the design, development and optimisation of advanced AI/ML models to detect, diagnose and predict wind‑turbine failure modes
- check_circle Apply sophisticated signal‑processing, reliability engineering and statistical techniques to large‑scale operational datasets
- check_circle Develop probabilistic models to estimate remaining useful life (RUL) and component failure risk
- check_circle Take ownership of end‑to‑end model lifecycle, including validation, testing and deployment into production environments
- check_circle Translate complex analytical outputs into clear, commercially relevant insights for engineering and operational stakeholders
- check_circle Mentor and collaborate with data scientists and engineers, promoting best practice in modelling and responsible AI
- check_circle Contribute to the continuous improvement of analytics capabilities, tooling and methodologies within the team
About the company
- check_circle 5+ years' experience in Data Science, Machine Learning or a related field, with a strong track record of delivering models in production environments
- check_circle Advanced Python skills and deep experience with ML frameworks (e.g. scikit‑learn, TensorFlow, PyTorch)
- check_circle Strong foundation in statistics, probabilistic modelling, and/or signal processing
- check_circle Experience working with complex industrial or time‑series datasets at scale
- check_circle Demonstrated ability to operate autonomously, prioritise effectively, and deliver against ambiguous or evolving requirements
- check_circle Confident communicator, able to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders
- check_circle Experience in wind energy, condition monitoring, rotating machinery, or reliability engineering
- check_circle Exposure to cloud‑based ML deployment and productionisation pipelines
Tags & Focus Areas
Data Science Ai