This role is an exciting opportunity to build superb tools to help inform our own commercial decisions as well as to help shape the energy system for all participants, both in the UK and around the world.
In the 10 years since launching we have become the largest household supplier in the UK, one of the fastest growing in Europe and are scaling businesses in everything from Renewable Generation to domestic flexibility, and from domestic heat pumps to public EV charging. In total we are operating dozens of businesses in over 30 countries around the World - and we have a lot further to go.
What you'll do...
- Use and develop industry leading tools to run whole electricity system simulations
- In particular you will develop tools to understand the impact of weather, changing technology mix, local flexibility and emerging technologies on system behaviour
- These models will support a range of key commercial decisions and operations in the business, from short-term optimisation to long-term investment decisions
- You will work closely with global teams across Trading, Risk Management, Strategy, Policy and Senior Leadership to articulate outputs and drivers
What you'll need...
- Experience with UK and/or European power markets, with scenarios, optimisation and dispatch analysis
- Very capable working in Python and SQL - writes clean, readable and reproducible analytics and modelling code
- Experience developing with a modern multiplayer developer workflow such as that listed in our data stack below
- Strong mathematical background, able to research and learn about models and algorithms and apply them to the problem at hand
Not essential but nice to have:
- Experience working with electricity whole system modelling frameworks like PyPSA, Plexos, BID3 or similar
- Experience setting up linear optimisation problems and working with optimisation libraries (e.g. Linopy, Pyolo, GurobiPy, PuLP etc)
- Experience working with APIs and data from UK and/or European power market transparency platforms such as Elexon and ENTSO-E.
- Knowledge of key climate (e.g., ERA5, CMIP6, MERRA-2) and weather (e.g., GFS, HRES) datasets and their integration into power system models.
How you’ll make an impact..
- Inquisitive and seek to really understand the question - on top of your technical skills you seek to understand the true requirements of a problem and approach the answers with a business and user mindset
- Excellent technical communicator - you are not only a talented individual contributor but you also enjoy and excel at presenting your results to a non-technical audience as a clear narrative
- Favour simplicity - you prefer to use simple, reliable tools over complex frameworks or approaches. You build models that are understandable and analyses that deliver to the required level of detail and accuracy. You take the shortest route there and avoid work around the work.
- Collaborative - you’ll be taking inputs from and providing outputs to many teams around the group. You need to have a collaborative mindset and enjoy these interactions.
- Proactive - much of work will be unguided as you develop the tools and capabilities to answer businesses questions. You need to be proactive and show initiative.
Our data platform stack:
We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:
Python as our main programming language
Databricks as our data lake platform
Kubernetes for data services and task orchestrationTerraform for infrastructureStreamlit for data applications
Airflow purely for job scheduling and tracking
Circle CI for continuous deploymentParquet and Delta file formats on S3 for data lake storage
Spark for data processing
DBT for data modelling
SparkSQL for analytics
