Join us, be part of more.
We're so much more than an energy company.
We're a family of brands revolutionising how we power the planet.
We're energisers.
One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities.
Here, you can find more purpose, more passion, and more potential.
That's why working here is #MoreThanACareer.
We do energy differently - we do it all.
We make it, store it, move it, sell it, and mend it.
About your team: You'll be working centrally within our mission control room, aka Centrica's group functions.
From Finance and Data Science, to our Wellbeing and People teams - this is the engine of our energy system, where our various Centres of Excellence power up each of our brilliant businesses, ensuring they have all the support, technologies, and capabilities they need to get our customers to Net Zero by 2050.This hybrid managerial role, based in Windsor, Berkshire (2 days on-site), offers an exciting opportunity to shape strategy and processes while driving innovation in the energy industry.
We are looking for an adaptable, experienced data scientist or machine learning expert that wants to tackle complex challenges and push the state of the art for automation in the energy sector.If you're passionate about innovation and making an impact, apply now!Key responsibilities will include:You will lead and mentor research teams, oversee technical projects, and own the strategy and roadmap for the Automation theme, focusing on digitizing and optimizing energy at scale using advanced data science and machine learning techniques.As part of a dynamic team, you'll work across key themes like flexibility, automation, and connectivity, supported by a group dedicated to promoting research and fostering collaborations.Here's what we're looking for:Strategic Leadership:Lead and mentor a team of Research Engineers, fostering collaboration and supporting professional development.Drive high-quality research by planning and executing innovative projects, developing novel algorithms, and integrating data science and machine learning techniques.Create and implement research strategies aligned with company objectives, staying ahead of industry trends to identify new opportunities.Collaborative Spirit:Partner with internal teams and external stakeholders, including academia and industry, to enhance innovation and research outcomes.Translate research findings into practical applications, working with stakeholders to streamline the commercial handover process.Promote continuous learning, publish findings in journals, and represent the team at conferences, producing impactful reports and insights.
Technical Excellence:Advanced degree in Computer Science, Electrical Engineering, Control Systems, or related fieldPractical experience designing statistical optimisation algorithms and (deep) machine learning techniques.Proficiency in machine learning frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost.Proficient in Python; knowledge of Scala, C++, Go, Rust, or Julia is a plus.Experience with git-based workflows and collaborative software development.Ability to write clean, efficient, and maintainable code.Why should you apply?
We're not a perfect place – but we're a people place.
Our priority is supporting all of the different realities our people face.
Life is about so much more than work.
We get it.
That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too.
Visit the link below to discover why we're a great place to work and what being part of more means for you.
If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.Help us, help you.
We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.