We’re partnering with an innovative cleantech company on a mission to accelerate the transition to a more sustainable future. They’re building solutions that make it easier for households and businesses to access and manage renewable energy, and they need a skilled Senior Data Scientist to help power their next phase of growth.
In this role, you’ll develop and deploy advanced analytical models that drive intelligent decision-making and product innovation. You’ll work with a modern data stack, collaborate closely with data engineers and product teams, and play a key role in transforming complex data into actionable insights that support climate-positive solutions.
What you’ll be doing:
- Building and deploying machine learning models to support forecasting, optimisation and customer insights
- Designing analytical frameworks to measure and improve product performance and user outcomes
- Partnering with cross-functional teams to define data-driven strategies and guide decision-making
- Translating business problems into scalable data science solutions
- Championing best practices around experimentation, data ethics and model governance
What we’re looking for:
- Strong experience with Python and data science libraries (e.g. pandas, scikit-learn, PyTorch or TensorFlow)
- Proven track record applying machine learning or statistical modelling to real-world business problems
- Solid understanding of data manipulation, feature engineering and experimentation design
- Experience collaborating with data engineering teams and working in cloud environments (AWS, GCP or similar)
- A curious, collaborative mindset and a passion for using data to drive sustainability and innovation
- Bonus: Interest in renewable energy technologies or climate analytics
This is a chance to apply your skills to a mission with real-world impact, enabling cleaner energy solutions and contributing to a more sustainable planet.