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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 a Data Science & Modelling Expert with a background in Python-based modelling, software development and data science. 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), of which our data-informed models and coding standards form the backbone.

A TASTE OF THE DAY TO DAY

As our model architecture expert consult on EV Analytics model architecture decisions, ensuring models work optimally on both a modular level and as part of a connected co-simulation ecosystem.

• Responsible for how our models exist and interface within the wider Zenobe tech stack, ensuring alignment with other software, data platforms and users.
• Drive innovation in our numerical modelling and data analysis in-house offering
• Define coding standards, lead learning sessions & support the team in developing skills.
• Act as a key liaison to align working practices and coding standards with other software, platform and data teams.
• Work with large fleet datasets to train machine-learning models for predicting EV performance (e.g. EV energy consumption, battery degradation).
• Lead ML-Ops (model training & deployment pipelines) activities supported by our data engineering and platform teams.
• Work with the wider EV Analytics team on the application of models to optimise EV fleets and their operation (e.g. technology selection, charging strategy, V2G).
• Utilise your optimisation approach expertise to develop optimisation algorithms for application in our models or support others in doing so.
• Supporting other analytics colleagues with data insight and modelling projects, sharing expertise & developing data science frameworks.
• Engage on data platform topics as a key data user and domain expert. Help define data requirements and challenge data engineering colleagues on data architecture proposals.
• Continuously develop our modelling processes and coding standards to increase efficiency and add value to all areas of the business.
• Champion software development good practices, produce high quality documentation and grow skills within the team

Health and Safety

• Actively contribute to Zenobe's commitment to health and safety, wellbeing and sustainability by; integrating these principles into daily responsibilities, ensuring a safe and supportive work environment, promoting both the physical and mental health of self and colleagues, and adopting sustainable and energy-efficient practices to minimize environmental impact. By doing so, each employee at Zenobe plays a vital role in fostering a culture that prioritises overall safety, holistic wellbeing, environmental sustainability in our business operations.

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 data science and 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 sector on data science, modelling, 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)
• Technical background with good understanding of the underlying physical principles related to electric vehicles and the energy sector.
• A strong understanding of data science, machine learning, ML-Ops and modelling principles.
• 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

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 25% annual bonus for being awesome
• 25 days holiday, plus bank holidays
• Private Medical Insurance
• £1,500 training budget per year, to ensure you grow as we do
• EV Salary Sacrifice Scheme
• Pension scheme, up to 8% matched contributions
• Enhanced parental leave
• Cash back health plan
• 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.