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AI Data Scientist

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Asite Solutions Limited
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Location: Greater London

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As an AI Data Scientist at Asite, you will work closely with our AI and Product teams to design, build, and deploy data workflows that support machine learning, analytics, and model development. You’ll help us evaluate and label large volumes of structured and unstructured data, prepare clean datasets, and support the development of new AI capabilities powered by LLMs, embeddings, and vector search.

This is an on-site role in our London office, working alongside a growing team focused on scaling our internal AI capabilities.

What You’ll Be Doing
  • Analyse and classify structured and unstructured data from across the platform
  • Build clean, reliable datasets and automated ETL workflows
  • Develop prototypes in Python using pandas, numpy, scikit-learn, and related libraries
  • Support experiments with LLMs, embeddings, and vector search technologies
  • Work with cloud services (GCP / AWS / Azure) for model deployment and pipeline automation
  • Collaborate with engineers and product teams to integrate data workflows into AI features
  • Document processes, tools, and analysis outputs clearly and consistently
  • Apply production-quality coding practices including Git, API usage, and modular design
What You Bring
  • Strong foundation in statistics, data analysis, and machine learning fundamentals
  • Proficiency in Python and common data science tooling
  • Experience preparing datasets and building automated pipelines
  • Comfortable working with both structured and unstructured data
  • Familiarity with cloud platforms (GCP / AWS / Azure)
  • Understanding of APIs, Git, and robust coding standards
Nice to Have
  • Experience working with LLMs, embeddings, or vector databases
  • Exposure to NLP, classification, or document understanding problems
  • Experience with data visualisation (Tableau, Power BI, or Python libraries)
  • Background in deploying ML models in production environments

If this sounds like a fit, we'd love to hear from you!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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