Junior/Graduate Data Scientist (AI)

Net Talent
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote

Tech stack

Artificial Intelligence
Computer Vision
Azure
Information Retrieval
Python
Machine Learning
Natural Language Processing
TensorFlow
Web Applications
PyTorch
Information Technology

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.

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