Data Scientist

Brill Power Limited; Oxford; On-site; GBP 45,000 - GBP 65,000; Full time

Job summary

A leading energy technology company in Oxford is seeking an experienced Data Scientist to aid in cutting-edge battery analytics. The successful candidate will contribute to machine learning algorithms and predictive models, collaborating closely with experts in the field. This is a full-time, permanent position that offers a dynamic work environment and the opportunity to develop innovative battery technologies. Ideal candidates will possess strong Python programming skills and experience in data analytics, along with a passion for solving complex problems.

Benefits

Competitive salary

25 days holiday plus bank holidays

Flexible working hours

Regular team social events

Qualifications

• At least a few years industry experience in data analytics.
• Experience managing and working with large datasets.
• Ability to work autonomously and initiate projects.

Responsibilities

• Analyze operational battery data to extract insights.
• Develop tools for predictive maintenance and fault prediction.
• Collaborate with software engineering for integration.

Skills

Production-level Python coding

Data analytics

Communication skills

Experience with Numpy and Pandas

Education

Undergraduate degree in engineering, mathematics, or equivalent

Tools

Git

SQL

Cloud computing platforms (Azure)

Job description

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 Eng ineer – Battery Modelling.

About

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.

Fun

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

About

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 Eng ineer – Battery Modelling. This role is based at our head office in Oxford in the UK .

Job Overview and responsibilities

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 .

Skills and Experience

Must have:

• 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
• E xperience writing software in a team environment including Git
• Experience working in data analytics, including the design and implementation of analysis tools
• Experience working with real-life timeseries data of physical systems
• Experience with data pre-processing and cleaning
• Experience working with Numpy , Pandas, Polars and other standard python toolboxes for data analysis
• Independent and driven person who can work autonomously and take initiative, but also a team player who will contribute and work well with others.
• Good communicator with a particular aptitude to convey data-driven results clearly and concisely to stakeholders

Nice to have:

• Knowledge of battery and energy systems , or experience working with battery data
• Experience with AI / ML techniques or statistical data analysis tools Experience with SQL and other tools for data querying
• Experience working with cloud computing platforms, ideally Azure
• Experience with other programming languages (C, C++, C#, Matlab)
• Experience studying the real-world and commercial impact of data analytics
• Skilled project planner, working with competing tasks andtimelines

Working Style:

• Fast-learner, eager to pick up new technologies
• Pragmatic; comfortable with ambiguity and changing requirement
• Able to work autonomously
• Comfortable working in a small team with a diverse range of responsibilities

Brill Power Benefits

In addition to a fun and friendly team and working environment, we offer:

• Competitive salary, based on experience
• 25 days of holiday plus bank holidays
• Benefits package to be agreed
• Full time, permanent role, with flexible working hours
• Regular team social events

Get in touch

There is no perfect candidate,and no single person can do it all, but if this sounds like you and you’re looking for somewhere to thrive,we want to hear from you.

Brill Power is an equal opportunity employer and welcome applications from all, without regard to their race, sex, disability, religion/belief, gender reassignment, national origin, sexual orientation, or age.

Please send a CV and cover [e-mail] , clearly indicating where yourskillsandexperience match what we are looking forin this role.

Brill Power is proud to be a certified Oxford Living Wage employer.