Research & Innovation Manager - AI, data, and automation

Home - Services British Gas Services; Windsor; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Centrica's Energised Futures invites applications for an R&I Manager (Automation) to lead a team of research engineers and own the automation strategy in the energy domain. The role blends research excellence with practical deployment, collaborating with industry and academia to push the state of the art.

Based in London, with the Antwerp team nearby, you will drive complex projects using data science, ML, and AI, guiding the roadmap and delivering impactful outcomes for a greener energy system.

Qualifications

• 5+ years designing statistical algorithms or ML models.
• Experience with Python and ML libraries (TensorFlow/PyTorch).
• Energy industry knowledge is strongly preferred.
• Strong mathematical and analytical skills.

Responsibilities

• Lead and develop a team of research engineers.
• Ensure reliable delivery of high-quality research outputs.
• Own Energised Futures' strategy around the automation pillar.
• Collaborate with stakeholders across Centrica, energy industry, startups and academia.
• Support the wider business to deploy outputs to maximise impact.
• Monitor and engage with industry and academia through conferences and journals.

Skills

Machine learning

Python

ML libraries

Statistical modeling

Data science

ML Ops

LangGraph

Education

PhD in CS/EE/Control

Master’s in related field

Tools

TensorFlow

PyTorch

AWS Bedrock

MLflow

Sagemaker

LangGraph

MCP libraries

Job description

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 att