AI Data Scientist

CompanyAsite

LocationLondon Area, United Kingdom

Posted At3/6/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (59.0%).

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Asite. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

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!