Data Scientist, Machine Learning, AI & Data, Defence & Security (DV clearance required)
Indexed description
Contract Start Date: March 2026
Contract Length: 12 months, with potential extensionContract Classification: Inside IR25
Contract Location: London, Bristol or Manchester with hybrid working (2/3 days in the office)
- Mandatory requirement: Must have DV Clearance **
If you are cleared DV level, we are very keen to hear from you.
We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science, Machine Learning and AI techniques.
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.
We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work.
- 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
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