Data Scientist (Electromagnetic Environment)

Company Overview

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. Its 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.

Group Overview

TheDigital and Synthetic Capability Unit (D&S)is committed to providing mission-driven information solutions that seamlessly bridge the digital and physical realms. Leveragingcutting-edgetechnologies and advanced platforms we empower operational readiness and elevatesituational awareness across diversedomainsincluding 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 Metreas 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 Youll Do

• Translate operational requirements into technical solutions working closely with cross-functional teams acrossdecisionscienceelectromagnetic simulation waveform designengineering operations hardware and aerial systems
• Apply machine learning data science and RF-aware analytical techniques to electromagnetic problem sets including spectrum classification emitter detection anomalydetectionandsignal characterisation
• Explore and develop modern approaches for electromagnetic sensing and exploitation including convolutional neural networks transformers autoencoders graph-basedmethods or probabilistic approaches for uncertainty-aware decision-making
• Design and conduct experiments to assess new algorithmsand techniques
• Develop proof-of-concept capabilities and support the deployment of selected approaches into operational environments
• Liaise with forward-deployedteammates to understand real-world constraints user needs data limitations environmental effects and deployment considerations
• Build reliableanalytical workflows using appropriateMLOps and cloud-based practices including version control experiment tracking automated testing model monitoring and scalable compute infrastructure
• Communicate complex technical conceptsfor no-technical usersclearly 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 Masters 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

AdditionalEligibilityQualifications

Benefits

• Private Medical Insurance
• Subsided gym membership / plans throughWellhub
• 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

WorkAuthorization/SecurityClearance

The employee will have the legal right to work in theUK and will be able to producerightto work documentation.

AAP/EEO Statement

Metreais 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.

PositionTypeandExpectedHoursofWork

This is a full-time non-exempt position with typical working hours of Monday through Friday 9:00 a.m. to6:00p.m. Hours and work shifts may changein accordance withdepartment and business needs.

WorkEnvironment

This job operates in an office setting with hybrid working.

Travel

Occasional travel to other UK Stockholm and US offices; predominantly in the UK.