Employment type in the employer’s posting: Full timeFrom the employer’s posting
Monitor and engage with industry and academia by engaging with conferences and journals
Supporting the wider business to adopt and deploy our outputs to maximise our impact Monitor and engage with industry and academia by engaging with conferences and journals The team is currently based in Antwerp, Belgium but we will be building a London-centred team to match. It will be useful to be able to travel between the locations, but we’d prefer you to be based in or around London.
Key skills and experiences - 5+ years experience designing complex statistical algorithms or machine learning models: A PhD plus 2 or more years or a master’s degree plus 4 or more years of research or equivalent industry experience in a domain such as Computer Science, Electrical Engineering, Control Systems, or a related field - Experience across a spectrum of libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent / AI orchestration such as LangGraph or MCP libraries
Open 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 118
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Centrica’s usual: its jobs come down by about day 20.
From 10,355 similar postings that came down, and 6 of Centrica’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience across a spectrum of libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent / AI orchestration such as LangGraph or MCP libraries - Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including for (deep) supervised / unsupervised / reinforcement learning problems - Strong mathematical skills and analytical mindset
- 5+ years experience designing complex statistical algorithms or machine learning models: A PhD plus 2 or more years or a master’s degree plus 4 or more years of research or equivalent industry experience in a domain such as Computer Science, Electrical Engineering, Control Systems, or a related field - Experience across a spectrum of libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent / AI orchestration such as LangGraph or MCP libraries - Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including for (deep) supervised / unsupervised / reinforcement learning problems
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
R&I Manager (Automation)
Want to help the world move towards Net Zero and shape the future of energy from within the UK’s leading energy providers?
Energised Futures is Centrica's in-house science, research and innovation incubator, established to systematically explore the possible and catalyse Centrica’s purpose of energising a greener, fairer future. To do this, we’ve built a dynamic and diverse team of researchers to perform cutting edge innovation across its core themes of flexibility, automation, connectivity, markets, engagement, and access, and pairing this with a strong support team to publish and promote research activities, engage with other research institutions and energy innovators, and grow our portfolio of activities.
Based in Antwerp and London since 2024, we continue to grow and evolve, giving newcomers to the team the chance to play a pivotal role in shaping the team and its processes, as it in turn shapes the roadmap for the wider organisation and industry.
The Role:
Our Research and Innovation Managers lead and mentor teams of research professionals, oversee highly technical projects, and own the strategy and roadmap for their area, ensuring alignment with the company's strategic objectives. The Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc).
Specifically, the role entails:
The team is currently based in Antwerp, Belgium but we will be building a London-centred team to match. It will be useful to be able to travel between the locations, but we’d prefer you to be based in or around London.
The ideal candidate:
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.
Of course, we’re also adaptable – if you think you’d be a good fit but don’t have all of this then we’d still love to hear from you!
Key skills and experiences
And key behaviours and competences
What we offer:
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.
https://www.morethanacareer.energy/centrica
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.
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Windsor
- A highly competitive set of additional benefits, the exact nature of which will depend on being based in the UK or Belgium - A very flexible hybrid working pattern – we get together twice a week in the office, but are generally quite flexible, especially if it relates to external factors, e.g. family situation - Join a high potential and fast-growing energy technology company
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