Senior Data Scientist, EME NEW

The Alan Turing Institute

THE ROLE

This Senior technical role sits within the Electromagnetic Environment (EME) team (part of DARe) which is aiming to become a world-class group focused on delivering the science needed to improve our understanding, management, and exploitation of the electromagnetic environment through the application of AI technologies. This involves both the application of existing AI algorithms and techniques as well as fundamentally advancing the state of the art of AI.

HOW YOU WILL MAKE AN IMPACT

• Engage with scientists from the EME’s Defence and Security partners to learn their aims and requirements and understand and identify problems they face.
• Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems.
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners’ decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations.
• Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success.
• Present, disseminate and explain our work via presentations, reports and workshops.
• Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs.
• Take ownership of a particular domain challenge area or methodology for the group.
• Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute.

ABOUT YOU

• Experience in a field with significant use of physics, engineering, advanced statistical or numerical methods, data science or computer programming evidenced by a PhD degree; or equivalent professional experience.
• Practical experience applying Machine Learning to real world problems or strong theoretical knowledge and academic experience with Machine Learning and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals.
• Demonstrable recent experience developing novel algorithms for transmitting, processing and analysing radio frequency signals or AI for physics/maths/engineering/communications and networks/radar problem sets.
• Fluency in one or more modern programming languages used in research in data science and artificial intelligence, we primarily work in Python.
• An understanding of the importance of good practices for producing reliable software and reproducible analyses.
• Experience working with customers to identify, understand and refine problems, scoping data science work to solve them.
• Experience leading a research project with a focus on AI or Radar or Communications and Networks.
• Experience conducting and publishing research to the standard required by top-tier reviewed journals (e.g. a recent RF publication in a peer-reviewed journal).
• Direct experience developing and deploying technologies in support of Defence and National Security organisations.

CLOSING DATE FOR APPLICATIONS: FRIDAY 17 JULY 2026 AT 23:59 (LONDON, UK BST)

Terms and Conditions

This post is offered on a permanent contract. The annual salary is £54,612 – £65,890 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

Must be eligible to hold a UK SC clearance and secure SC clearance.

Equality Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed.