Metrea is a defense company dedicated to translating commercial innovation into solutions for the hardest problems in national security. With deep mission expertise, Metrea focuses on delivering effects as-a-service across a spectrum of domains including Air & Space, Electromagnetic & Cyber, and Synthetic. Metrea Management provides central services to eleven (11) global capability units via Operations, Solutions, Strategy, Legal, and Finance teams
Business Unit
Metrea Mission Data (MMD) are experts at capturing and missionising data, providing unique, timely insight and analysis to where it can have the biggest impact. A combination of extensive operational experience and expertise in Tactical Data Links, Data Analytics and Cyber enables us to deliver a full stack of services delivering high-impact outcomes for our customers and partners.
Position Summary
We seek an innovative and experienced Data Scientist to enhance our existing software development capability. This pivotal role will focus initially on developing cutting-edge solutions for air, space and maritime domain awareness, specifically sensor fusion and track behaviour prediction. The role also requires an ability to contribute to growing our Decision Science capability, in terms of people, processes and data infrastructure. There is further scope to undertake broader ML delivery against a wide range of uses cases across Metrea. The ideal candidate will have either a post-doctoral background in a quantitative field (although a Masters degree plus suitable experience is equally valuable) and a passion for applying advanced data science techniques to solve complex challenges in the Defence sector.
Role and Responsibilities
- Translate operational requirements into technical solutions, working closely with cross-functional teams.
- Develop and implement advanced multi-domain sensor/track fusion algorithms, initially focusing on maritime applications.
- Apply and adapt state-of-the-art data science techniques to address broader Defence-related challenges, including object detection, decision support and LLM deployment.
- Mentor and manage junior team members and foster a collaborative, innovative work environment.
- Apply and recommend data science best practices and contribute to shared resources.
- Pursue continuous learning and stay abreast of emerging trends in data science, AI, sensor technologies, and simulation techniques across Defence applications.
Skills and Experience
- Post-doctoral degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, or related STEM discipline) or equivalent professional experience with a Masters’ degree.
- Strong programming skills in Python, with proficiency in ML libraries
- Strong knowledge of Machine Learning and AI techniques
- Experience with multi-source sensor fusion techniques and algorithms
- Familiarity with MLOps and cloud computing platforms; Azure preferred
- Excellent communication and teaching skills, able to explain complex technical concepts to diverse audiences
- Passion for continuous learning and sharing knowledge with colleagues
- Collaborative mindset and ability to work effectively in a fast-paced, innovative environment
- Prior Defence experience essential
Our culture
Metrea’s single core value “rooted in humility” is supported by four key attributes; entrepreneurial, systematic, discerning & over-deliver which combined; form our Teammate Firmware, our culture. These attributes are explored during the hiring process, when we grow our teams and to continually support the growth of our culture. We are a hyper-collaborative, dynamically hierarchical organization united by a passion for what we do, and how we do it, who we do it with, and who we do it for
Benefits
- Discretionary Bonus
- 30 Days Annual Leave
- Private Medical Insurance for employee
- Company Pension
- Group life insurance
- Disability protection
- EAP
- Business Travel Insurance
- Cycle to Work Scheme
- Gympass
- Electric Car Scheme
Work Authorization/Security Clearance
Employee must be able to have and maintain a SC Clearance, appropriate to the nature of the role
