Using data to improve the performance, reliability, and efficiency of offshore wind farms.
OVERVIEW
Offshore Wind Data Scientists analyse large volumes of operational data from wind turbines, sensors, weather systems, and electrical infrastructure to improve the performance of offshore wind farms.
Using advanced data analysis, machine learning, and modelling techniques, data scientists help operators predict equipment failures, optimise turbine performance, and improve energy production. Their work supports smarter decision-making and helps wind farms run more efficiently.
This role is ideal for people who enjoy working with data, solving complex problems, and applying technology to support renewable energy systems.
More details
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• Analyse operational data from offshore wind turbines and sensors
• Develop models to predict equipment failures and maintenance needs
• Identify ways to optimise turbine performance and energy production
• Work with engineers to interpret data insights
• Develop data dashboards and reporting tools
• Analyse weather, wind, and environmental data
• Use machine learning techniques to improve system efficiency
• Support decision-making for wind farm operations and maintenance
Location:
- Offshore wind developer offices
- Renewable energy technology teams
- Engineering consultancies
- Occasionally offshore wind farm operations centres
· Work Pattern:
- Primarily office-based or remote analytical work
- Collaboration with engineering and operations teams
- Standard working hours
Conditions:
- Working with large datasets and advanced analytical tools
- Collaborative digital working environments
- Supporting operational teams across different locations
Team Structure:
You will work alongside:
- Electrical and mechanical engineers
- SCADA technicians
- Wind farm operations teams
- Software developers
- Asset management teams
Essential Skills
- Data analysis and statistical modelling
- Programming (e.g., Python, R, SQL)
- Machine learning techniques
- Data visualisation and dashboard development
- Problem solving and analytical thinking
- Communication of technical insights
Useful Skills
- Renewable energy systems knowledge
- Wind turbine performance modelling
- Big data tools and cloud computing
- Data engineering and database management
- Understanding of SCADA data systems
University Degrees
- Data Science
- Computer Science
- Mathematics or Statistics
- Engineering (with data analytics specialisation)
- Physics
Graduate Programs:
- Some renewable energy companies offer graduate programmes in digital technology, analytics, or engineering, providing entry routes into offshore wind data science roles.
Industry Transition Routes:
- Technology companies
- Energy sector analytics roles
- Financial data analysis
- Manufacturing or engineering analytics
Typically Required
- Degree in data science, computer science, mathematics, or engineering
- Experience working with large datasets and analytical tools
Desirable
- Machine learning and AI training
- Data visualisation tools (e.g., Power BI or Tableau)
- Cloud computing and big data platforms
