Data Scientist

Data Science & AI Consultant

Location: Bristol, London, or Manchester (Hybrid working)

Security Clearance: Active DV clearance is essential

Salary: £45,000-70,000 DOE

As a Data Science & AI Consultant, you will work with Defence and Security clients to solve complex, mission-critical challenges using data, machine learning, and artificial intelligence. The role involves developing and deploying innovative AI solutions, from initial research and prototyping through to production-ready applications, while helping clients improve decision-making and operational performanc

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Key Responsibiliti

• esApply data science, machine learning, and AI techniques to solve complex Defence and Security challenge
• s.Design, develop, and deploy AI-enabled solutions from concept and prototype through to productio
• n.Analyse structured and unstructured data to generate insights and support decision-makin
• g.Research and implement emerging technologies, including Generative AI and Agentic AI solution
• s.Produce technical reports, presentations, and recommendations for client stakeholder
• s.Collaborate with multidisciplinary teams including engineers, designers, analysts, and delivery manager
• s.Advise clients on AI strategy, adoption, and responsible use of AI technologie

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Key Experie

• nceExperience applying data science, machine learning, or AI techniques in Defence, Security, Public Sector, Industry, or Research environmen
• ts.Strong hands-on experience with Python and data science toolsets for data analysis, modelling, and AI developme
• nt.Knowledge of machine learning approaches including statistical modelling, supervised and unsupervised learning, deep learning, transformers, and generative
• AI.Experience delivering solutions across the AI/ML lifecycle, from data exploration and prototyping to deployment and operational suppo
• rt.Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Fa
• ce.Experience working with cloud platforms including AWS, Azure, or G
• CP.Understanding of MLOps practices, model evaluation, and scalable AI deployme