Junior/Graduate Data Scientist (AI)
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
- 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.