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Data Scientist

Net Talent
Glasgow
6 days ago
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CEO and founder of Net Talent and People Talent, CIPD AssociateFractional Embedded Talent Acquisition Partner, Senior…

Location Glasgow/Edinburgh

Salary: Competitive + Benefits

About the Role

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.

What You’ll Do

  • 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.

What We’re Looking For

  • 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.
  • 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.

Why Join Us?

  • 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.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesAccounting

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