Energy Modelling and Data Expert - Battery Storage

at  Zenob

ABOUT ZENOBE

Our goal is to make clean power accessible, to accelerate the shift to zero carbon power and transport.
We’re building and operating the world’s most sophisticated battery systems to enable the uptake of more renewable power and accelerating fleet electrification, de-risking the transition to zero-emission transport at scale. We’ve been consistently innovative since we were founded in 2017, achieving major industry firsts and using proprietary software and data analysis to optimise operational performance for our customers. At the end of their life, we repurpose electric vehicle batteries to provide clean power at depots, on construction sites and film sets.
Today we have 730 MW of grid scale battery storage operational and under construction and are the largest owner and operator of EV buses in the UK, Australia and New Zealand, supporting over 1,000 electric vehicles worldwide. In our first five years we have raised nearly £1.8 billion in funding and have expanded into other markets such as the US. Our rapidly growing company is looking for highly talented and motivated people to join us.

WHAT WE’RE LOOKING FOR

We realise that certain groups of people are less likely to apply for a role if they don’t meet 100% of the job requirements. To be absolutely clear: if you like the look of this job and think you could do it well, we encourage you to apply with a CV that highlights your transferable skills and experience. Above all, Zenobē is looking for collaborative, flexible, empathetic people who are interested in creating and promoting practical routes to a zero carbon world.
Our ideal candidate will have a keen interest for the advancement of clean energy in the context of the energy transition, as well as for modelling of energy markets, programming and data analysis.

The ideal candidate must have:

• STEM degree (e.g. engineering, applied physics, data science).
• 5+ years of relevant professional experience working in a tech sector on data science, modelling, analytics and software topics, preferably in an energy-adjacent domain.
• 5+ of experience Python.
• Strong DevOps skills and coding practices (Gitflow, version control, pull requests, environment management, Docker).
• Experience with cloud providers and cloud infrastructure deployment (preferably AWS, CDK).
• An interest in data visualisation and user interface design.

In addition, knowledge in one or more areas below would be of value:

• Working experience in the energy industry.
• Experience with mathematical programming (LP, MILP).
• Experience with visualisation tools such as Streamlit, or, in alternative, Grafana, Dash, Power BI.
• Comfortable with the following python tools: numpy, pandas, pyomo, poetry, highspy)
• Experience handling large volumes of data.
• Experience with numerical task orchestration and scheduling.
• Project management skills and ability to effectively engage with stakeholders, managing expectations and timescales for the delivery of results.

• Drive innovation in our numerical modelling and data analysis in-house offering such as our energy market revenue optimisation models or our market data collection and analysis tooling
• Responsible for how our models exist and interface within the wider Zenobe tech stack, ensuring alignment with other software, data platforms and users.
• Champion software development good practices, produce high quality documentation and grow skills within the team.
• Contribute to developing new models to simulate the operation and energy trading of BESS projects, both in the UK and new markets.
• Improve existing models (e.g., introducing new revenue streams and market structures to existing trading models).
• Design and deploy pipelines for market data, revenue data from our operational assets and numerical simulation data.
• Collaborate with software and data engineers in a product team