Senior Data Scientist
Title: Senior Data Scientist Reports to: Head of Decision Science Lab Business Unit: Digital & Synthetic Capability: Decision Science Location: London/Harwell/Lincoln Hybrid Level: S3 Company Overview 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 Digital and Synthetics Group (DSG) combines deep operational expertise with advanced data analytics and synthetic environments to accelerate the delivery of high-impact defense solutions. Our unique fusion of digital engineering, mission-critical data expertise, and simulation capabilities enables us to rapidly develop and deploy innovative technologies that transform complex operational challenges into actionable insights. Position Summary We seek an innovative and experienced Data Scientist to undertake Machine Learning delivery against signal processing use cases across Metrea, specifically within our internal Decision Science Laboratory and automated Solution Engine. Applicants should be comfortable with deploying operational ML techniques across relevant problem sets, including signal processing algorithms, time-frequency analysis and parameter estimation. Waveform generation experience would also be useful. The ideal candidate will have 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.
- Apply and adapt state-of-the-art data science techniques to address signal processing techniques. Provide input to hardware and aerial designers and liaise with forward-deployed teams
- Conduct ML experiments and take responsibility for the subsequent operational deployment of selected approaches.
- 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 and Aerospace applications.
- 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/MATLAB, with proficiency in ML libraries
- Strong knowledge of Machine Learning and AI techniques
- Experience with deploying operational signal processing systems
- 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 or Aerospace experience preferred but not essential