Lead Data Scientist - Public Sector (security cleared)
Core
Architect, design, and deliver advanced AI solutions leveraging machine learning, generative, and agentic AI for government, healthcare, and defence sectors.
Role type
Lead Data Scientist (Technical Lead & Mentor)
Builds
Production-grade AI solutions, scalable cloud-native architectures, and trustworthy AI systems.
Domain
Public Sector (Government, Defence, Healthcare) + AI/ML
Deliverable
production ML models
Required skills
Machine learning (time series, supervised/unsupervised, reinforcement learning), LLMs, prompt engineering, RAG, agentic AI, Python, software engineering (CI/CD, testing), data engineering for large-scale/unstructured/multimodal data, responsible AI principles, model interpretability, team management and coaching.
Preferred skills
Deep learning frameworks (PyTorch, TensorFlow), LLM fine-tuning/distillation, vector databases, semantic search, knowledge graphs, open-source AI contributions, AI security/privacy/compliance (ISO42001).
Technologies
Python, PyTorch, TensorFlow, scikit-learn, XGBoost, LLMs (GPT, Llama, Claude, Gemini), RAG, vector databases, knowledge graphs.
Responsibilities
Translate business challenges into trustworthy AI solutions, drive adoption of modern AI frameworks and AIOps best practices, manage and coach a small team, provide technical direction and leadership, foster a culture of innovation and engineering excellence.
Seniority
Senior, hands-on IC with people management responsibilities