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- Tasks: Develop predictive models for renewable energy generation and power demand using machine learning.
- Company: Join Vaisala, a global leader in sustainable measurement technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real-world impact on climate resilience and sustainability through innovative data science.
- Qualifications: Experience in machine learning, Python, and knowledge of energy markets required.
- Other info: Collaborate with a diverse team of experts in a purpose-driven environment.
The predicted salary is between 45000 - 60000 £ per year.
We are looking for an analytical and proactive Data Scientist - Renewable Energy Modelling to join our Vaisala Xweather team specialised in Finance and Insurance. This position is central to our market operations, focusing on the creation and maintenance of high-performance predictive models for renewable energy generation and power demand.
Company background: Vaisala is a global leader in measurement instruments and intelligence helping industries, nations, people, and the planet to thrive. From predicting hurricanes to optimizing renewable energy production, our technology is used where it matters the most – from data centers, windfarms and laboratories to airports, the Arctic and even the surface of Mars. Vaisala is recognized in TIME Magazine’s World’s Best Companies in Sustainable Growth 2025 study. Our team of over 2,400 experts and 59 nationalities around the world is committed to taking every measure for the planet. Driven by our shared purpose, curiosity, and pioneering spirit, we stay ahead and make a difference. At Vaisala, you don’t have to fit in to belong.
Drive real-world impact by applying machine learning to solve complex time-series and structured data challenges that support energy transition, climate resilience and sustainability. Collaborate across disciplines with scientists, engineers, designers, and commercial experts to turn data into actionable insights in a fast-growing, purpose-driven product environment. Shape the future of data science applied to the energy space at Xweather, where innovation meets mission—helping build smarter, safer solutions for a changing world.
What will you do? As the Data Scientist - Renewable Energy Modelling, you will help in advancing our applied machine learning capabilities. You will focus on exploring and developing new features, testing a variety of modeling approaches, and supporting innovation in how we use supervised learning for complex time-series and structured data challenges. You will report to the Powerup product owner.
- Develop, improve and automate wind and solar power production indices, ensuring high accuracy and reliability.
- Develop and improve energy demand indices.
- Experiment with a range of modeling techniques to evaluate performance.
- Explore methods to support both deterministic and statistical approaches to prediction.
- Collaborate with software developers to integrate promising approaches into larger workflows.
- Automate clients’ data cleaning techniques used as an input to ML models.
What will you bring:
- Fundamental knowledge of energy markets and renewable energy generation and demand modeling.
- Knowledge of meteorological datasets.
- Hands-on experience with machine learning libraries (scikit-learn, XGBoost, PyTorch, TensorFlow, or similar).
- Strong skills in feature engineering for time-series or structured datasets.
- Familiarity with statistical and ensemble methods.
- Proficiency in Python, with strong analytical and data manipulation skills.
- A solid knowledge of software development, ideally in C#.
- Excellent communication skills for liaising with internal teams and external stakeholders.
Nice to Have Skills: While the core modeling is in Python, the candidate will need to integrate their Python models/APIs with existing C#/.Net applications and use C# for all backend and frontend development.
Please note all applicants must have the legal right to work in the UK. We are unable to sponsor visas for this role. Ready to take every measure for the planet? Apply at the latest on April 6th, 2026 via the application form.
Data Scientist - Renewable Energy Modelling in England employer: Vaisala
Contact Detail:
Vaisala Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Renewable Energy Modelling in England
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working at Vaisala. A friendly chat can open doors and give you insights that might just help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to time-series data or renewable energy. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and C# skills, focusing on how they apply to energy modelling. Being able to discuss your coding experience confidently will impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Vaisala team and making a difference.
We think you need these skills to ace Data Scientist - Renewable Energy Modelling in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with renewable energy modelling and machine learning libraries like scikit-learn or TensorFlow. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for renewable energy and data science, and explain why you’re excited about joining our Vaisala Xweather team. Let us know how you can contribute to our purpose-driven environment.
Showcase Relevant Projects: If you've worked on projects related to energy markets or predictive modelling, make sure to showcase them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Vaisala
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of machine learning libraries like scikit-learn and TensorFlow. Be ready to discuss your hands-on experience with these tools, especially in the context of renewable energy modelling. They’ll want to see how you can apply your skills to real-world problems.
✨Understand the Energy Market
Familiarise yourself with the fundamentals of energy markets and renewable energy generation. Being able to talk about how your work can impact energy demand and production indices will show that you’re not just a techie, but someone who understands the bigger picture.
✨Feature Engineering is Key
Prepare to discuss your approach to feature engineering for time-series data. Think of specific examples where you’ve successfully developed features that improved model performance. This is crucial for the role, so have your best stories ready!
✨Collaboration is Crucial
Since this role involves working with software developers and other teams, be ready to share experiences where you’ve collaborated across disciplines. Highlight your communication skills and how you’ve turned complex data insights into actionable strategies in past projects.