Overview
Department: Artificial Intelligence & Data Science
Reports to: Lead AI Scientist
This organisation is at the forefront of AI-driven automation, building advanced solutions that transform how accountancy, finance, and professional services firms operate. The focus is on combining mathematical rigour with practical AI innovation to deliver technology that enables businesses to work smarter, faster, and with greater accuracy.
As an AI Graduate Scientist, you will design, develop, and deploy cutting-edge AI solutions that push the boundaries of automation and document intelligence. You’ll work closely with a multidisciplinary team of mathematicians, engineers, and domain experts, applying modern techniques in NLP, computer vision, and machine learning to solve complex, real-world problems.
This role is ideal for someone with a strong mathematical foundation, a passion for AI research, and a desire to see their work deliver real business impact.
Key Responsibilities
- Research & Development: Investigate and implement advanced AI/ML algorithms, with a focus on document intelligence, information retrieval, and data automation.
- Product Innovation: Contribute to the development of a document intelligence platform using NLP and computer vision to extract, classify, and structure data from complex, unstructured sources.
- Retrieval-Augmented Generation (RAG): Design and implement intelligent retrieval systems, exploring approaches such as GraphRAG and Google ScaNN to improve contextual accuracy.
- Full-Stack AI Deployment: Build, test, and deploy AI-powered bots and web applications on Microsoft Azure, ensuring scalability, security, and performance.
- Enterprise AI Integration: Develop Model Context Protocol (MCP) systems to integrate AI models with enterprise data sources for domain-specific AI interactions.
- Explainable AI: Research and apply model interpretability techniques to ensure AI systems are transparent, reliable, and business-ready.
- Continuous Learning: Stay up to date with cutting-edge AI research and evaluate new methods for practical application.
Skills & Qualifications
- First-class degree (or equivalent) in Mathematics, Computer Science, Artificial Intelligence, or a related discipline.
- Strong mathematical grounding, particularly in algebra, number theory, and statistics.
- Proficiency in Python and experience with major ML frameworks such as PyTorch or TensorFlow.
- Solid understanding of NLP, computer vision, and information retrieval.
- Ability to translate theoretical models into practical, deployable solutions.
- Experience with cloud platforms, ideally Microsoft Azure.
- Knowledge of vector search, RAG pipelines, and document chunking strategies.
- Familiarity with advanced similarity search or vector quantisation techniques.
- Experience deploying AI applications in enterprise environments.
- Interest in explainable AI and model interpretability.
What’s on Offer
- The opportunity to work on high-impact AI projects solving real business problems.
- A collaborative, research-driven culture that values both innovation and rigour.
- Exposure to cutting-edge AI tools, techniques, and research.
- Competitive salary and benefits.
- A clear career path into senior research or engineering roles.
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