Data Scientist, Machine Learning, AI & Data, Defence & Security (DV clearance required)
Contract Job Title: Data Scientist, Machine Learning, AI & Data, Defence & Security (DV clearance required)
Contract Start Date: March 2026
Contract Length: 12 months, with potential extension
Contract Classification: Inside IR25
Contract Location: London, Bristol or Manchester with hybrid working (2/3 days in the office)
As a practitioner in our team, you will:
- Apply data science, machine learning and AI techniques creatively to solve complex problems.
- Research and develop innovative solutions that deliver real-world impact.
- Pioneer implementation of new techniques and technologies.
- Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.
- Be responsible for the high-quality delivery of projects.
- Shape new propositions and support winning new projects.
- Support continual learning and development in the team.
- Develop deep understanding of the Defence and Security sector and the context for AI solutions and services to be successful.
- All applicants must hold UK security clearance to Developed Vetting level
- Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia
- Understanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understand their applicability to client use cases
- Strong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiences
- Building productive relationships with colleagues and clients
- Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work
- Experience applying state-of-the-art techniques to derive insights from text, audio, imagery or video content
- Experience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP) or equivalent
- Practical experience with Python and good practice tools and processes for developing high quality code
- Familiarity with common Python libraries for data management, statistical analysis, machine learning. Visualisation, interactive web front-ends
- Experience with popular machine learning frameworks such as TensorFlow and PyTorch
- Strong understanding of statistics and probability
- Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use
- Experience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents)
- Understanding of key considerations for Ethical and Responsible AI and experience applying them