Research & Innovation Manager - AI, data, and automation
Centrica is hiring a Research & Innovation Manager - AI, data, and automation. Level rates it ; you can apply on Centrica.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions LangGraph, Bedrock and PyTorch among its tools and skills.
- Level classes it as a senior role.
- Centrica has 51 other open roles on Level.
- Posted in the last few days.
AI in this role
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:
- Leading and developing a team of research engineers
- Ensuring reliable delivery of high-quality research and innovation outputs
- Owning the Energised Futures’ strategy around the automation pillar
- Collaborating and engaging with stakeholders, both across Centrica, the energy industry, startups and academia
- 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.
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
- 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
- Strong mathematical skills and analytical mindset
- Energy industry knowledge is strongly preferred e.g. smart energy technologies and energy management, and connectivity challenges, energy markets and trading techniques, regulatory constraints and processes, etc
And key behaviours and competences
- An adaptable growth mindset: Curiosity and a desire to learn and develop beyond current expertise. Proactive, creative, and collaborative approach to problem-solving, especially in the ambiguous, uncertain world of innovation
- Strong sense of ownership: taking initiative and being accountable for your work and the wider team
- Interpersonal skills: working effectively with in cross-functional teams
- Technical communication: e.g. in discussing and explaining technical concepts such as machine learning, energy systems, hardware control, and IoT devices
- Ethical integrity: Upholds high ethical standards in all research and innovation activities, striving for transparency and openness in all interactions
What we offer:
- An attractive salary and compensation package
- 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
- A high calibre team, where your creative input will have a high impact. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. To build a more sustainable future, we need the best team – a team with a diverse mix of people and skills, where everyone feels welcome and able to succeed. We are not looking for people to fit into our culture but to add to it!
- Contribute to a greener, fairer future for all, driving a responsible but rapid decarbonisation of energy
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.
How we rate this
Research & Innovation Manager - AI, data, and automation at Centrica rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used LangGraph in your day-to-day work.
- What are the limits of Bedrock that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, LangGraph, Bedrock, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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