Energy Systems Modeller London, England
Job description
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 take up of more renewable power, electrifying fleets for cleaner air, repurposing electric vehicle batteries for clean portable power and creating proprietary software and data analysis to optimise operational performance for our customers.
Today we have 425 MW of operational and under construction grid scale battery capacity and are the largest owner and operator of EV buses in the UK, Australia, and New Zealand. Zenobe is expanding into other markets such as the USA. In our first five years we have raised nearly £1billion in funding and our rapidly growing company is looking for highly talented and motivated people to join us.
THE OPPORTUNITY
We are looking for a talented Python modeller focusing on Energy Systems to join our Modelling unit within the broader Commercial Analytics group. The candidate will be part of a new unit aimed at providing top quality modelling insights to extract the maximum value from Zenobē’s assets.
The goal of this unit is to exploit the use of mathematical programming techniques and machine learning to optimise different aspects of the business. You will work closely with the Network Infrastructure, the EV Fleet, and the Revenue Optimisation units. Therefore, you will have exposure to different parts of the Commercial Analytics business (battery and fleet optimisation, trading, etc.) always from a modelling perspective (this is not an operational role).
This is a great opportunity for someone looking to expand their modelling skills in Python (although some other languages are used here and there) as well as getting significant exposure to other stakeholders who can help design more useful tools.
A TASTE OF THE DAY TO DAY
Responsible for the development of modelling tools which will be used across the Commercial Analytics and the broader company, this may include:
- Developing new models with a specific purpose.
- Improving existing models (e.g., introducing new markets to the current trading models).
- Writing unit tests for the models and collaborating with DevOps and Data Engineering to deploy them.
- Transforming scripts into coherent pieces of software.
- Supporting the rest of Commercial Analytics in their modelling endeavors (e.g., providing advice, or making sure coding practices are up to the highest standards).
- Collaborating with other teams at Zenobē to provide them with models and tech advice.
- Teaching coding and DevOps good practices to other modellers in Commercial Analytics and other Python users in the wider company.
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.
The 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, programming, and DevOps.
The ideal candidate must have:
- Degree in a relevant area such as electrical engineering, computer science, physics, or other quantitative and modelling focused degrees.
- 3+ years of experience with Python (good coding practices are a must).
- Modelling experience (e.g., classical optimisation, mathematical programming, machine learning).
- Competent with DevOps tools (at least two of these: git, Python environments, docker, AWS).
- Willing to learn and contribute to the Modelling unit as well as the Commercial Analytics team.
- Experience developing in teams.
In addition, knowledge in one or more areas below would be of value:
- Excellent DevOps competencies (docker, git, CI/CD, AWS)
- Good git practices (e.g., gitflow, pull requests)
- Experience with mathematical programming (LP, MILP)
- Experience with machine learning common libraries (e.g., scikit-learn, PyTorch)
- Experience with visualisation tools such as Dash, Grafana, Streamlit
WORKING AT ZENOBE
We’re passionate about sustainability and are proud to offer Team Zenobē a pioneering and collaborative working environment. We encourage our people to take ownership of their career progression and celebrate those that can think outside the box.
If you’d like to join our community of likeminded people hit the apply button now, we’d love to hear from you!
WHAT WE OFFER
Charge your career at Zenobē and receive
- Up to 20% annual bonus for being awesome
- 25 days holiday, plus bank holidays
- Private Medical Insurance, for you and the family
- £1500 training budget per year, to ensure you grow as we do
- EV Salary Sacrifice Scheme
- Pension scheme
- Plus more
Lots of our people work flexibly in many different ways, including part-time, flexitime and hybrid working. We can’t promise to give you exactly what you want, but please talk to us about the flexibility you need and let’s see how we can make it work.
OUR APPROACH TO DIVERSITY AND INCLUSION
Our people are our strongest asset and the key determinant of our success, and we value a range of skillsets and perspectives. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We work to provide equal opportunities and an inclusive work environment, where everyone is fairly treated in the application process and through their career at Zenobē. If there are any adjustments that would help improve your experience with Zenobē, please let us know when you apply.
