Role overview:We are seeking an exceptional Data Scientist with deep expertise in advanced AI systems, particularly in the design, deployment, and optimisation of Large Language Models (LLMs) beyond standard usage patterns. The ideal candidate will have hands-on experience with Agentic AI architectures, a solid understanding of AGI-oriented research, exceptional mathematical foundations, and a keen ability to identify and model emerging growth spaces.You will work at the intersection of AI research, applied machine learning, and strategic data-driven opportunity discovery-helping shape solutions that push the boundaries of intelligent systems.Core Technical responsibilities:· LLM Expertise Beyond Standard Usage1. Develop, fine-tune, and evaluate LLMs for specialised tasks (beyond prompt engineering).2. Build retrieval-augmented generation (RAG) pipelines with scalable vector/graph data structures.3. Optimise models for performance, interpretability, and efficiency.4. Integrate LLMs with structured and unstructured data sources.· Agentic AI & Autonomous Systems5. Design and implement multi-agent systems capable of goal-oriented reasoning and long-term planning.6. Build dynamic tool-using agents that can orchestrate APIs, databases, and knowledge graphs autonomously.7. Research and implement advanced memory, planning, and decision-making frameworks for AI agents.· AGI-Aligned Research & Applications8. Contribute to AGI-related experiments, focusing on reasoning, adaptability, and generalisation.9. Prototype cognitive architectures for open-ended problem-solving.10. Explore novel algorithms in reinforcement learning, self-improvement loops, and emergent behaviours.· Mathematics & Quantitative Modeling11. Apply advanced mathematical methods (linear algebra, optimisation, probability theory, graph theory, and statistics) to complex AI challenges.12. Design robust evaluation metrics for intelligent systems.13. Implement mathematical models for simulation, forecasting, and optimisation in AI pipelines.· Identifying & Modelling Growth Spaces14. Use advanced analytics and AI-driven market mapping to identify high-potential domains.15. Develop predictive models for emerging trends using cross-domain datasets.16. Collaborate with strategy teams to translate AI insights into business and innovation roadmaps.
