Junior Data scientist We're working with a stealth-mode AI fintech disruptor on this exciting opportunity. This is your chance to move beyond notebooks and build production-grade AI systems for a platform redefining investment intelligence in private markets. You will work at the cutting edge of LLMs, RAG, and agentic workflows to automate complex financial analysis for senior investors. The Role Design and prototype advanced LLM-powered workflows using RAG pipelines, embeddings, and agentic systems. Build and deploy production-grade ML/AI services using Python and FastAPI within containerised Docker environments. Clean and structure complex, real-world alternative asset datasets to power high-stakes investment insights. Research and implement emerging AI approaches, including fine-tuning and structured model evaluation, to provide practical value. Collaborate directly with an experienced CTO to ship code quickly and iterate on the core MVP. What You'll Need A strong academic background (2:1 or higher) in Computer Science, Mathematics, or a related STEM field. Proficiency in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Hands-on experience applying Large Language Models (LLMs) to real-world problems, ideally with vector databases. Familiarity with cloud infrastructure (GCP), Docker, and deploying models via APIs. A "high-ownership" mindset with a passion for agentic frameworks like LangGraph, CrewAI, or AutoGPT. What's On Offer Competitive salary of £35,000 - £50,000 in a high-growth fintech environment. Hybrid working model (3 days on-site) in the heart of London. The opportunity to join a well-funded startup at an early-stage inflection point with real equity potential. Direct mentorship from experienced founders and senior financial services operators. Apply via Haystack today!