Our client, a fast-growing and innovative organisation, is looking for a Junior / Graduate Data Scientist to join their expanding data function.
This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test, and support production-ready models using modern cloud technologies.
The Role
You will work primarily with Python, SQL, and AWS (including Amazon SageMaker) to:
Extract, transform, and analyse data from AWS data platforms
Perform exploratory data analysis and communicate insights clearly
Build and evaluate baseline machine learning models (classification & regression)
Support model experimentation in Amazon SageMaker Unified Studio
Contribute to model deployment, monitoring, and safe rollout practices
Follow best practices in Git, code review, testing, and Agile delivery
Support data governance, documentation, and privacy-by-design principles
This role offers structured mentorship and exposure to data science beyond modelling — including productionisation, compliance, and engineering collaboration.
Essential Requirements
Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience
Early career stage (graduate, placement, bootcamp, or personal projects)