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.

THE OPPORTUNITY

We are offering an exciting opportunity for outstanding candidates with a passion for fighting climate change to apply their analytical skills and industry expertise to the real-life commercial deployment of electric vehicle projects. In our rapidly growing company, adaptable, highly motivated and talented individuals will be given significant responsibility.
We are looking for an EV Modelling Expert with a background in Python-based modelling, simulation and software development. As part of the EV Analytics team, within the Commercial Analytics department, you will work closely with our software, data engineering and operational teams to successfully develop and deploy models enabling the virtual optimisation of EV fleet designs & operating strategy. As an expert, you will be responsible for the functional architecture of our models, their connections, code efficiency and interfaces with the wider tech-stack. This role will also represent coding excellence within the team and as such is responsible for defining coding standards, ways of working with other software teams and maintaining our position at the forefront of the tech sector. The wider EV Analytics team are responsible for optimising all aspects of EV design, operations and performance (i.e. efficiency, charging strategy, commercial performance), all of which is built on top of our models.

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.
We are looking for an expert in EV fleet charging modelling to become the principal expert on these topics in the EV Analytics space, also taking a lead role in defining our coding standards and working practices with other tech teams. The ideal candidate will be a technically-minded individual with a passion for applying Python-based modelling, data insight and analytical methods for problem solving and system optimisation in the EV sector. With prior relevant experience, the individual will have confidence in working with autonomy, leading projects and spearheading areas of technical development whilst helping to shape the team and representing our technical expertise both internally and externally.

Essential skills, qualifications and experience:

• STEM degree (e.g. engineering, applied physics, data science)
• 5+ years of relevant professional experience working in a tech / engineering sector on modelling, simulation, analytics and software topics, preferably in an EV or energy-adjacent domain.
• 5+ years experience with Python (numpy, scipy, pandas, matplotlib, plotly, poetry, scikit-learn and other scientific libraries)
• Direct experience building time-stepping simulation models of physical systems (doesn’t necessarily have to be EV charging as approaches are transferable).
• Technical background with good understanding of the underlying physical principles related to electric vehicles and the energy sector.
• A strong understanding of EV charging and the various facets: charging physics, charger / battery / system electrical performance & limitations, charging control & OCPP.
• A good understanding of fleet operations: fleet parking dynamics, scheduling, depot operations.
• A working knowledge of data engineering, cloud platform and software development
• Strong DevOps skills and coding practices (Gitflow, version control, pull requests, environment management, Docker).
• Excellent mathematical, analytical and problem-solving ability.
• Excellent professional communication, reporting and presentation skills
• Ability to lead technical areas and projects, becoming a pioneer in their field of expertise
• Experience with cloud providers and cloud infrastructure deployment (preferably AWS, CDK).

Desirable but non-essential skills:

• Additional software engineering/computer science skills – (e.g. Linux, SQL, AWS and network design)
• Additional EV experience not limited to design, development, analysis or testing of EV systems
• PhD in a relevant field of engineering or data science

Please refer the Job description for details