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A fast-paced automation intelligence company in Central Belt Scotland is seeking a Junior / Graduate Data Scientist to join its innovative AI research team. This role involves developing AI solutions, enhancing NLP systems, and deploying applications on cloud platforms. Ideal candidates will have a first-class degree in relevant fields, strong mathematical skills, and proficiency in Python. Join a forward-thinking environment with excellent career development opportunities.
Graduate/Junior Data Scientist (AI)
Central Belt Scotland, Hybrid
Excellent opportunity to work with a fast paced automation intelligence company.
Location: [Specify Location or Remote]
Salary: Competitive + Benefits
We are seeking a bright and driven Junior / Graduate Data Scientist to join a forward-thinking AI research and development team. This is a rare opportunity to apply advanced mathematics, data science, and artificial intelligence to solve complex real-world problems in automation, document intelligence, and information retrieval.
You’ll work on projects at the cutting edge of AI, from natural language processing (NLP) and computer vision to Retrieval-Augmented Generation (RAG) and explainable AI. You’ll be part of a collaborative environment where mathematical rigour meets practical innovation, building systems that make a measurable difference.
Research & Develop AI/ML solutions for document intelligence, information retrieval, and automation.
Build and enhance NLP and computer vision systems to extract, classify, and structure data from unstructured documents.
Work with RAG architectures, implementing advanced document chunking, GraphRAG, and ScaNN to boost retrieval precision.
Deploy AI-powered bots and web applications on cloud platforms (e.g., Microsoft Azure).
Develop systems that integrate AI models seamlessly with enterprise data, enabling domain-specific applications.
Explore explainable AI techniques to make complex models transparent and trustworthy.
Keep up with the latest AI research and translate cutting-edge findings into production-ready solutions.
Essential
First-class degree in Mathematics, Computer Science, Artificial Intelligence, _ ideally a Masters
Strong mathematical foundation, especially in algebra, number theory, and statistics.
Proficiency in Python and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
Understanding of NLP, computer vision, and retrieval methods.
Ability to turn theory into practical, deployable systems.
Desirable
Experience with Microsoft Azure or other cloud platforms.
Knowledge of vector search, RAG pipelines, and document chunking strategies.
Familiarity with advanced search techniques such as anisotropic vector quantisation.
Interest in explainable AI and model interpretability.
Work on groundbreaking AI projects with real-world impact.
Be part of a research-led, innovation-driven team.
Gain hands-on experience with state-of-the‑art tools and techniques.
Enjoy excellent career development opportunities in AI/ML.