Data Scientist (Electromagnetic Environment)

About the role

In this role, you will apply machine learning, data science, and advanced analytical techniques to complex challenges across the electromagnetic environment. Working within the Decision Science Laboratory, you will design, test, and deploy ML-enabled capabilities that go beyond traditional signal processing approaches. You will be responsible for turning ambiguous Defence and Aerospace problems into robust technical solutions that can be tested, explained, and deployed in real-world settings.

Responsibilities

• 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 non-technical users clearly through reports, demonstrations, briefings, and workshops
• Mentor junior team members and help foster a collaborative, innovative, and technically rigorous environment

Required skills

• Machine Learning
• Data Science
• Python
• Scientific computing
• RF-aware analytics
• CNNs
• Transformers
• Autoencoders
• Probabilistic modelling
• Simulation-driven learning
• MLOps

Qualifications

• Post-doctoral degree in Physics, Engineering, Mathematics, Computer Science, Statistics, or a related STEM discipline
• Master’s degree with equivalent professional experience
• Eligible to hold UK SC-level security clearance
• Right to live and work in the UK

Benefits

• Private Medical Insurance
• Subsided gym membership
• Electric Car scheme
• Cycle to work scheme
• Free lunch on office days
• Enhanced Parental Leave
• 30 days annual PTO plus bank holidays
• Bonus Scheme
• Personal development opportunities

About the Company

Metrea delivers effects-as-a-service to national security partners across five domains and more than a dozen mission areas. They own the whole stack, designing, building, and operating turnkey capabilities that give partners decisive, asymmetric advantage against rapidly evolving threats.