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  "employer_name": "Hyre AI Limited",
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  "job_description": "Junior Data Scientist\n\nStealth AI Fintech Startup | London | Hybrid (3 days on-site)\n\nWe’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets).\n\nThey’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows.\n\nWe’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks.\n\nThe Role\n\nWe’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows.\n\nThis is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation\n\nWhat You’ll Be Doing\n• Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems)\n• Cleaning and structuring complex, real-world datasets\n• Building and deploying production-grade ML/AI services\n• Contributing to evaluation, monitoring, and model performance improvements\n• Researching and implementing emerging AI approaches where they create practical value\n\nWhat We’re Looking For\n• BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM\n• Strong Python skills\n• Experience with PyTorch, TensorFlow, or JAX\n• Practical experience applying LLMs to real problems\n• Broader ML exposure (e.g. tree-based models, deep learning fundamentals)\n• Familiarity with vector databases and RAG pipelines]\n• Experience deploying models via APIs (e.g. FastAPI)\n• Solid understanding of GCP and containerised environments (Docker)\n• High ownership mindset; you prototype, test, and improve independently\n• Right to work in the UK (no sponsorship)\n\nNice to Have\n• Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT)\n• Fine-tuning or structured model evaluation experience\n• Understanding of transformers and embeddings\n• Exposure to financial data or fintech systems\n• Contribution or Interest in open-source or research side projects\n\nWhy Join\n• Build applied AI in a high-value, complex domain\n• Ship quickly in a well-funded early-stage startup\n• Work directly with an experienced CTO\n• Gain real ownership and technical depth early in your career\n• Join at an inflection point as the product scales",
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  "job_posted_at_timestamp": 1773705600,
  "job_posted_at_datetime_utc": "2026-03-17T00:00:00.000Z"
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