Data Scientist (Electromagnetic Environment)
Group Overview
The Digital and Synthetic Capability Unit (D&S) is committed to providing mission-driven information solutions that seamlessly bridge the digital and physical realms. Leveraging cutting-edge technologies and advanced platforms, we empower operational readiness and elevate situational awareness across diverse domains—including air, maritime, and space.
Position Summary
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.
What You'll Do
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
What You Bring
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
Additional Eligibility Qualifications
Eligible to hold UK SC-level security clearance
Right to live and work in the UK
Benefits
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
Work Authorization / Security Clearance
The employee will have the legal right to work in the UK and will be able to produce right to work documentation.
AAP/EEO Statement
Metrea is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other characteristics protected by law.
Position Type and Expected Hours of Work
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.
Work Environment
This job operates in an office setting with hybrid working.
Travel
Occasional travel to other UK, Stockholm and US offices; predominantly in the UK.