Data Scientist

• 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.

This role directly supports the transition to a zero-carbon grid by optimising battery storage trading, enabling higher penetration of renewable energy and reducing reliance on fossil fuels.

• 2+ years of relevant experience in data science, quantitative analysis, or closely related role.
• Experienced in writing clean, maintainable, and production-ready Python code.
• Experience developing, evaluating, and deploying machine learning models.
• Solid knowledge of applied statistics, probability, and experimental best practices.

• 25 days holidays plus public holidays, carry over flex and festive office closure.
• Flexible working with at least 1-2 days in office per week.
• Enhanced parental leave: 6 months full salary for primary caregiver, 1 month for secondary.
• Premium Private Medical Insurance (Freedom Elite, MHD basis).
• Yearly salary review.
• Personal annual learning and development budget.
• Bike to Work Scheme and Octopus EV Scheme.
• Employee Assistance Programme and complimentary eye tests.

Arenko is a fast-growing company using technology to enable a zero-carbon grid worldwide by optimising energy storage and adding flexibility to the electricity grid.