Data Scientist (Electromagnetic Environment)

In this role, you will apply machine learning, data science, and advanced analytical techniques to complex challenges across the electromagnetic environment. Working within Metrea’s Decision Science Laboratory (DESLAB) and automated Solution Engine, you will design, test, and deploy ML-enabled capabilities that go beyond traditional signal processing approaches. This includes exploring the potential of methods such as Transformers, self-supervised learning, probabilistic modelling and simulation-driven learning approaches for electromagnetic sensing and exploitation. You will be successful if you are comfortable moving between research, experimentation, and operational delivery, turning ambiguous Defence and Aerospace problems into robust technical solutions that can be tested, explained, and deployed in real-world settings., * Translate operational requirements into technical solutions, working closely with cross-functional teams across decision science, electromagnetic simulation, waveform design, engineering, operations, hardware, and aerial systems

• Apply machine learning, data science, and RF-aware analytical techniques to electromagnetic, problem sets, including spectrum classification, emitter detection, anomaly detection and signal characterisation
• Explore and develop modern approaches for electromagnetic sensing and exploitation, including convolutional neural networks, transformers, autoencoders, graph-based methods or probabilistic approaches for uncertainty-aware decision-making
• Design and conduct experiments to assess new algorithms and techniques
• Develop proof-of-concept capabilities and support the deployment of selected approaches into operational environments
• Liaise with forward-deployed teammates to understand real-world constraints, user needs, data limitations, environmental effects, and deployment considerations
• Build reliable analytical workflows using appropriate MLOps, and cloud-based practices, including version control, experiment tracking, automated testing, model monitoring, and scalable compute infrastructure
• Communicate complex technical concepts for no-technical users clearly through reports, demonstrations, briefings, and workshops
• Mentor junior team members and help foster a collaborative, innovative, and technically rigorous environment, while staying current with emerging developments

• A post-doctoral degree in a quantitative field such as Physics, Engineering, Mathematics, Computer Science, Statistics, or a related STEM discipline, or equivalent professional experience supported by a Master’s degree
• Familiarity with modern approaches such as CNNs, Transformers, autoencoders, self-supervised learning, probabilistic modelling, or simulation-driven learning
• Strong programming capability in Python, including experience with scientific computing, machine learning frameworks, and data analysis libraries
• Experience applying data science, machine learning, or advanced analytics to electromagnetic or related operational problem sets
• Ability to design rigorous experiments, evaluate model and algorithm performance, and translate findings into clear technical recommendations
• Excellent communication skills, with the ability to explain complex ML, RF, statistical, and engineering concepts to technical and non-technical audiences
• A collaborative mindset, strong technical curiosity, and the ability to work effectively in a fast-paced, mission-focused environment, The employee will have the legal right to work in the UK and will be able to produce right to work documentation.

Pulled from the full job description

• Annual leave
• Private medical insurance
• Cycle to work scheme
• Car scheme, * Private Medical Insurance
• Subsided gym membership / plans through Wellhub
• Electric Car scheme
• Cycle to work scheme
• Free lunch on office days
• Enhanced Parental Leave
• 30 days annual PTO plus b/h
• Bonus Scheme
• Personal development opportunities, This is a full-time non-exempt position with typical working hours of Monday through Friday, 9:00 a.m. to 6:00 p.m. Hours and work shifts may change in accordance with department and business needs.

Metrea delivers effects-as-a-service to national security partners across five domains and more than a dozen mission areas. These include airborne ISR, electronic warfare, secure communications, aerial refueling, special air missions, aerial firefighting, and advanced simulation. We own the whole stack: designing, building, and operating turnkey capabilities that give our partners decisive, asymmetric advantage against rapidly evolving threats.

Our operating model is built around three interlocking pillars. The Support Groups provide a global shared-service - spanning people, finance, platform, operations, legal, and engagement. This frees up our Core Groups, who develop and own mission capabilities end-to-end, to focus entirely on delivery. The Market Groups apply a regional lens, ensuring that our agile and adaptable capabilities remain aligned to the wicked problems that matter most to our partners across the Americas, EMEA, and Asia-Pacific.

At the heart of our model is a simple but powerful idea: be a true partner with skin in the game. Our partners need effects, not just equipment. By owning the full stack - from the lab to the field - we are able to drive a continuous cycle of innovation that keeps our partners ahead. It’s a fast-moving, intellectually demanding environment where talented people are given real responsibility, work on problems that matter, and contribute to an enterprise that is growing quickly and deliberately.

Headquartered in Washington, DC, with facilities across the United States, the United Kingdom, as well as Continental Europe and Asia-Pacific.