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
e
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
s.
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
nt.
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