Lead Data Scientist – Public Sector (security cleared)

We are looking for a Lead Data Scientist to architect, design, and deliver advanced AI solutions leveraging state‑of‑the‑art machine learning, generative, and agentic AI technologies. The role includes driving adoption of modern AI frameworks, AIOps best practices, and scalable cloud‑native architectures; collaborating with clients to translate business challenges into trustworthy AI solutions; ensuring responsible AI practices; providing technical mentorship; and managing a small team of staff.

Minimum (essential) Requirements

• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or a similar quantitative field.
• Deep understanding and experience in developing AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs.
• Experience with the latest AI engineering approaches such as prompt engineering, retrieval‑augmented generation (RAG), and agentic AI.
• Strong Python skills with grounding in software engineering best practices (CI/CD, testing, code reviews, etc.).
• Expertise in data engineering for AI: handling large‑scale, unstructured, and multimodal data.
• Understanding of responsible AI principles, model interpretability, and ethical considerations.
• Strong interpersonal skills with the ability to lead client projects and establish requirements in non‑technical language.
• Passionate about developing people, with experience in managing, coaching, and developing junior team members and the wider community.
• Must have active UK Government Security Clearance.

Desirable

• Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow) and fine‑tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini).
• Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
• Contributions to open‑source AI projects or research publications.
• Familiarity with AI security, privacy, and compliance standards (e.g. ISO42001).

Embracing Our Differences

We are committed to building a diverse, equitable, and inclusive team. Everyone is valued and respected, and we provide accommodations when needed to ensure a level playing field for all candidates.

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