Who are we? 

Arenko was founded in 2014 and we are growing rapidly in an emerging sector. We’d describe ourselves as fast-paced and inclusive. Our team are self-motivated problem solvers who take a collaborative approach to help the business develop and grow.

So what do we do?

As we move to the high-renewables and low carbon era, electricity storage is transforming the way the energy industry operates. The energy industry is fast becoming a digital and multidisciplinary sector that provides a fundamental service for modern society, but these needs must be delivered in a socially responsible way. Arenko is using new technology to add flexibility to the grid and secure supply in this fast-changing industry, offering a huge variety of opportunities for the future. At Arenko we are strongly committed to our mission of building a sustainable future by enabling a zero-carbon grid worldwide. Energy storage has a crucial role to play in the energy transition, and our technology enables the transformation of energy systems. We have committed a Sustainability Strategy more details of which can be found on our website at https://arenko.group/sustainability/

Sound like something you care about? Please read on…

What’s the role? 

As a Data Scientist in the Nimbus Trade Optimiser team at Arenko, you will play a key role in shaping and evolving our algorithmic physical power trading strategies. Nimbus Trade is an algorithmic trading product used by traders and asset owners to automate the trading of grid-scale batteries and flexible assets. This role focuses on the data, optimisation, and strategy logic embedded in a production trading system, directly influencing how assets are traded in live energy markets. You will work at the intersection of data science, optimisation, and energy markets, helping to design the next generation of our optimiser and discover new trading and operational strategies in a rapidly changing energy landscape.

Batteries and flexibility are fundamental to operating electricity grids with high levels of intermittent renewable generation. In this role, you will focus on understanding how our optimiser behaves in real market conditions, identifying opportunities to improve performance, robustness, and value capture. You will explore large and complex datasets produced by energy markets, trading systems, and simulations, and translate insights into improvements to optimiser logic, strategy design, and decision-making frameworks. You will work closely with engineers and traders to ensure data-driven ideas are implemented, tested, and evaluated in real market conditions. Your work will directly support trading outcomes for a market-leading client base operating battery and flexibility assets.

You will:

• Analyse market, trading, and operational data to identify opportunities to improve trading performance, optimiser behaviour, and value capture.
• Design, develop, and evaluate machine learning, statistical, and optimisation-based solutions to support trading and operational decision-making.
• Develop and test new trading and operational strategies using historical analysis, simulation, and experimentation techniques.
• Contribute to the design and evolution of optimiser objectives, constraints, and decision-making frameworks.
• Collaborate closely with engineers and traders to translate analytical insights into production-ready improvements.
• Build tools, analyses, and workflows that improve visibility into optimiser performance and reduce reliance on manual processes.

Who are you? 

Here at Arenko, we appreciate every single employee and the values they bring to the company so you might be completely different to what we expected. That being said, here’s a few things we’d love you to tick the boxes on;

• You’re degree level educated in Computer Science or a related discipline or you’re able to demonstrate equivalent workplace experience.
• You have 2+ years of relevant experience in data science, quantitative analysis, quantitative research, or a closely related role.
• You’re experienced in writing clean, maintainable, and production-ready Python code.
• You have experience developing, evaluating, and deploying machine learning models, with an understanding of the strengths and limitations of different approaches.
• You have solid knowledge of applied statistics, probability, and experimental best practices, with an understanding of common pitfalls and their impact on decision-making.
• You’re familiar with optimisation techniques and their application to real-world decision-making problems.
• You have experience working on quantitative decision-making systems such as trading, optimisation, forecasting, or automated control systems. Experience in energy markets or battery optimisation is advantageous but not required.

So what’s in it for you? 

Hopefully the first thing is you love what we do and want to be part of the mission but let’s be honest…that’s probably not why you’re getting up to work everyday.

We know that rewarding our employees is the best way to make them feel valued. This is a journey we’d love you to take with us and as we grow we look forward to finding more ways to reward and thank you for your commitment to our mission. We currently offer the following benefits with more to come in future; 

• 25 days holidays in addition to public holidays, carry over flex and festive office closure (a pretty decent annual leave allowance even if we do say so ourselves!)
• A genuine approach to flexible working - the vast majority of our employees spend at least a day or 2 each week in the office but we’re open to making this work for everyone, their personal circumstances and their workloads
• Enhanced parental leave offerings with 6 months of full salary for the primary caregiver and 1 month for the secondary caregiver
• We provide premium Private Medical Insurance through Freedom Elite on a Medical History Disregarded (MHD) basis. In plain English: we generally cover pre-existing conditions from day one - a perk that puts your wellbeing first.
• A yearly salary review for all employees
• We are proud to support the continuous professional growth of our employees by providing a personal annual learning and development budget and fully covering the costs of professional membership fees and subscriptions relevant to your role
• Access to MindTools on us
• Bike to Work Scheme (because it wouldn’t be very on brand if we didn’t encourage you to think about how your travel affects the environment)
• Octopus EV Scheme (see above!) 
• A commitment to your wellbeing, with access to our Employee Assistance Programme and complimentary eye tests in partnership with Specsavers
• As part of our DEI efforts, we are currently in partnership with MotherBoard which enable us to be committed to improving the working lives of parents at Arenko
• Regular opportunities to blow off some steam engage with our team, including quarterly socials, the big Festive Gathering and the Summer Party. We’re also working on our wellness initiatives to support your Physical, social, mental and financial wellbeing. 

Our selection process

1. First stage interview with hiring manager 
2. Take home technical test
3. Second stage with Senior Data Team
4. Final stage with hiring manager and Head of Trade Products

Want to join us?

​​Here at Arenko, we want every employee and candidate to feel valued, comfortable, and able to be their own free self at work. Together, we are committed to building a diverse and inclusive culture that encourages, supports, and empowers the authentic voices of all our employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or any other aspect that makes you unique.