FD Intelligence
Data Scientist
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Job Title: AI Data Scientist (can be graduate level)
Location: Glasgow
Department: Artificial Intelligence & Data Science
Reports to: Lead AI Scientist
About FD Intelligence
FD Intelligence (FDI) is at the forefront of AI-driven automation, delivering advanced solutions that transform how accountancy, finance, and professional services firms operate. Our mission is to blend mathematical rigour with practical AI innovation, enabling businesses to work smarter, faster, and with greater accuracy.
Role Overview
As an AI Graduate Scientist at FD Intelligence, you will design, develop, and deploy cutting-edge AI solutions that push the boundaries of automation and document intelligence. You’ll work alongside a multidisciplinary team of mathematicians, engineers, and domain experts, applying state-of-the-art techniques in natural language processing (NLP), computer vision, and machine learning to solve complex, real-world problems.
This role is ideal for someone with a strong mathematical background, a passion for AI research, and a drive to deliver tangible business impact through innovative technology.
Key Responsibilities
- Research & Development: Investigate and implement advanced AI/ML algorithms, focusing on document intelligence, information retrieval, and data processing automation.
- Product Innovation: Contribute to the development of FDI’s flagship document intelligence platform, leveraging NLP and computer vision to extract, classify, and structure data from complex, unstructured forms.
- Retrieval-Augmented Generation (RAG): Architect and implement intelligent retrieval systems, exploring advanced techniques such as GraphRAG and Google ScaNN for improved precision and contextual relevance.
- 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 seamlessly integrate AI models with enterprise data sources, enabling domain-specific AI interactions.
- Explainable AI: Research and apply model interpretability techniques to make complex AI systems transparent, reliable, and business-ready.
- Continuous Learning: Stay abreast of cutting-edge AI research, regularly evaluating and implementing promising new methods.
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Skills & Qualifications
Essential
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- First-class degree (or equivalent) in Mathematics, Computer Science, Artificial Intelligence, or related discipline.
- Strong mathematical foundation, particularly in algebra, number theory, and statistics.
- Proficiency in Python and experience with major AI/ML frameworks (e.g., PyTorch, TensorFlow).
- Understanding of NLP, computer vision, and information retrieval techniques.
- Ability to translate theoretical models into practical, deployable solutions.
Desirable
- Experience with cloud platforms, preferably Microsoft Azure.
- Knowledge of vector search, RAG pipelines, and document chunking strategies.
- Familiarity with anisotropic vector quantisation or advanced similarity search techniques.
- Experience deploying AI applications in enterprise environments.
- Interest in explainable AI and model interpretability.
What We Offer
- Opportunity to work on transformative AI projects with real-world impact.
- Collaborative, research-driven culture that values both innovation and rigour.
- Exposure to cutting-edge tools, techniques, and publications in AI/ML.
- Competitive salary and benefits package.
- Clear career development path into senior research or engineering roles.
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