Data Scientist
April 13
🔄 Hybrid – Manchester
Description
• Derive valuable insights from large volumes of data relating to power delivery, market performance, and renewable technologies. • Collaborate regularly with colleagues to develop novel algorithms for managing energy assets. • Contribute to the design and development of Kraken Flex’s virtual-power-plant modelling and optimisation framework. • Disseminate insights across the organisation. • Help define data science best practices and engage with colleagues to share information, grow skills, and provide feedback. • Collaborate regularly with colleagues with many different professional specialities to create innovative solutions that delight our customers and colleagues. • Experience with some key components of a conventional data science toolchain: notebooks, Python, pandas, numpy, et al. • Experience deriving insights from data in a curious, observation-driven manner. • An interest in storytelling with data, and a desire to explain and craft a clear message from findings. • In-depth industry experience in software development & design. • A drive to get things done in a collaborative, agile development environment An interest in working with data, both processing and analysing. • A proven ability to perform well in a fast-paced environment Excellent analytical and multitasking skills. • Experience with formal statistical procedures: linear modelling, hypothesis testing, bayesian methods; • Experience with AWS or similar cloud providers Experience analysing large volumes of data • Familiarity with machine learning or operational research (optimisation) techniques Note: This description gives a feel for the role, however if you’re missing something here but think you’d fit, we’d love to hear from you.
Requirements
• Experience with some key components of a conventional data science toolchain: notebooks, Python, pandas, numpy, et al. • Experience deriving insights from data in a curious, observation-driven manner. • An interest in storytelling with data, and a desire to explain and craft a clear message from findings. • In-depth industry experience in software development & design. • A drive to get things done in a collaborative, agile development environment An interest in working with data, both processing and analysing. • A proven ability to perform well in a fast-paced environment Excellent analytical and multitasking skills. • Experience with formal statistical procedures: linear modelling, hypothesis testing, bayesian methods; • Experience with AWS or similar cloud providers Experience analysing large volumes of data • Familiarity with machine learning or operational research (optimisation) techniques
Benefits
• Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! • Octopus Energy is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people • Visit our perks hub - Octopus Employee Benefits
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