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Energy Data Scientist
Job summary
A leading data technology company in Edinburgh seeks a specialist to lead the development of energy forecasting models. This role involves working with advanced analytics in a collaborative environment. Candidates should have strong Python skills and experience in the energy sector. Benefits include hybrid working, annual leave, and a bonus scheme.
Benefits
Qualifications
- Experience in the energy sector - markets, trading, forecasting.
- Strong Python skills with machine learning frameworks.
- Ability to explain technical concepts to non-technical audiences.
Responsibilities
- Lead the development of short-term energy forecasting models.
- Enhance and evolve the existing forecasting suite.
- Apply machine learning techniques to improve forecasting accuracy.
Skills
Education
Tools
We are proud to be working with a pioneering organisation at the forefront of the energy transition, using advanced data technology to transform how we generate, trade, and consume power across Europe. Their forecasting tools and models are trusted across the industry, enabling smarter decision making for energy traders, regulators, investors, and technology innovators.
This is an exciting opportunity to join a specialist Power Market Modelling team that builds in-house forecasting platforms and supports high-profile projects across the European energy sector. You’ll play a key role in developing advanced models and analytics that directly contribute to shaping the future of energy.
- Lead the development of short-term energy forecasting models, starting in GB and expanding across Europe.
- Enhance and evolve the existing forecasting suite in collaboration with traders and market specialists.
- Work closely with developers and consultants in an agile, cross-functional environment.
- Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability.
- Languages: Python, C#, front-end web technologies
- Infrastructure: Microsoft Azure
- Modelling Approaches: Machine learning, optimisation, stochastic and agent-based models
- Experience in the energy sector - markets, trading, forecasting, etc.
- Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
- Knowledge of GitHub/Azure DevOps and SQL advantageous.
- Excellent communicator, able to explain technical concepts to non-technical audiences.
- Degree (or equivalent experience) in a numerical or computer science subject.
- Collaborative, customer-focused, and motivated to solve complex problems.
- Hybrid working and flexible arrangements.
- 26 days annual leave plus bank holidays
- Bonus Scheme
- Discount Schemes
- Medical Insurances
- Volunteering opportunities and green initiatives, including an EV salary sacrifice scheme.
- Lots of extras!
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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