R&I Manager: AI, Data & Automation for Energy

Centrica plc; Clewer Village; Hybrid; GBP 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexible hybrid working

Competitive benefits

High-calibre team

Zusammenfassung

Centrica plc is seeking an experienced R&I Manager (Automation) to lead a team of researchers focused on data science, machine learning, and automation in the energy sector. The role involves shaping the roadmap for the automation pillar and coordinating with internal and external partners to push the state of the art.

The ideal candidate will have strong ML expertise, a PhD or masters with substantial research experience, and a passion for delivering practical, scalable AI solutions for a

Qualifikationen

• 5+ years designing complex statistical algorithms or ML models in academia or industry.
• Experience with ML frameworks and deployment tools across cloud platforms.
• Strong programming skills in Python and familiarity with other languages (C++, Scala, Rust).
• Experience deploying supervised, unsupervised, and reinforcement learning approaches.
• Industry knowledge in energy tech or related domain is a plus.

Aufgaben

• Lead and mentor teams of research engineers.
• Oversee delivery of high-quality research outputs and projects.
• Own the strategy for the automation pillar within Energised Futures.
• Engage with stakeholders across Centrica, academia and startups.
• Support deployment of outputs to maximise business impact.
• Engage with conferences and journals to stay at the research frontier.

Kenntnisse

ML model design

Python

Statistical algorithms

Cross-disciplinary collaboration

Data science

Ausbildung

PhD in CS/EE or related field

Masters in CS/EE or related field

Tools

TensorFlow

PyTorch

AWS Bedrock

MLflow

Sagemaker

LangGraph

MCP libraries

Jobbeschreibung

Centrica plc is seeking an experienced R&I Manager (Automation) to lead a team of researchers focused on data science, machine learning, and automation in the energy sector. The role involves shaping the roadmap for the automation pillar and coordinating with internal and external partners to push the state of the art.

The ideal candidate will have strong ML expertise, a PhD or masters with substantial research experience, and a passion for delivering practical, scalable AI solutions for a