Data Scientist - Renewable Energy Modelling

We are looking for an analytical and proactive Data Scientist - Renewable Energy Modelling to join our Vaisala 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.

Location: Harpenden, UK

Company background

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.

Why join us?

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.

Key Responsibilities:  

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.