Data Scientist

We are looking for an experienced and versatile Data Scientist to contribute to advanced battery diagnostics and prognostics, machine learning algorithms, and data exploration and analysis tools. The results of your work will be deployed on Brill Power’s cutting-edge battery cloud analytics platform. You will join a dynamic team in a permanent, full-time role and report to our Principal Engineer – Battery Modelling.

Brill Power

Brill Power , a subsidiary of Palmer Energy Technology, works at the cutting edge of energy storage, power electronics, and battery software. We are a team of problem solvers and innovators, keen to make energy storage as efficient, sustainable, and widely adopted as possible.

Established in 2016, Brill Power is a deep‑tech company with roots in the Engineering Department at the University of Oxford. Acquired in 2025 by Palmer Energy Technology Limited, we continue to grow our impact and expand to new markets. We are a small and talented team based in Oxford who are looking for new members to join us for the next chapter of Brill Power.

Essential to success. We love what we do.
We think you should too.

We are a team with mutual respect and understanding

We are driven by innovation and leading the way in battery intelligence

We work collaboratively to solve problems

The Role

We are looking for an experienced and versatile Data Scientist to contribute to advanced battery diagnostics and prognostics, machine learning algorithms, and data exploration and analysis tools. The results of your work will be deployed on Brill Power’s cutting‑edge battery cloud analytics platform. You will join a dynamic team in a permanent, full‑time role and report to our Principal Engineer – Battery Modelling.

This role is based at our head office in Oxford, UK.

Working alongside experts in batteries, this role will focus on the analysis of real‑world data from battery systems. The successful candidate will conduct analysis of operational battery data, manage and work with large datasets, and identify and communicate insights provided by our battery analytics data platform. You will work closely with the rest of the team to bring to market novel algorithms to go beyond the status quo in the industry.

Youshould expect to workin a dynamic environment withvariousprojectsrequiring a wide range ofexpertiseand the willingness to learn new skills as needed.

The advanced analyticsthat you will be developing include state- and parameter estimation, fault diagnostics, predictive models, battery lifetime estimation, and quality assessment.

If you are keen to develop new technologies and work in a dynamic field, this is the right role for you. You should be confident working autonomously while also being comfortable working with the team in a fast‑paced environment. If you fill the majority of the qualifications listed below and are excited to work on cutting‑edge battery technology, we would like to talk to you.

Responsibilities Include

• Work alongside our battery experts to extract impactful insights from battery datasets
• Develop tools to infer insights into predictive maintenance, fault prediction, battery health and lifetime performance prediction
• Evaluate the benefits of analytics versus the cost and complexity of running them
• Develop scalable and flexible workflow and data pipelines including pre‑ and post‑processing of data
• Extend toolsets and algorithms for a cloud‑enhanced Battery Management System (BMS) and Energy Management System (EMS)
• Closely interact with the software engineering team to ensure the algorithms integrate efficiently with the cloud backend, and the results are presented to our customers correctly and clearly on the front‑end
• Collaborate and communicate with the broader team
• Maintain a positive and productive atmosphere within the team.

• An undergraduate degree in engineering, mathematics, statistics, physics or equivalent fields, or a combination of education and work experience, with relevant research experience
• At least a few years industry experience writing production‑level Python code
• Experience writing software in a…