Junior / Graduate Data Scientist
Junior / Graduate Data Scientist 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 RoleYou 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)
- Strong Python skills (pandas, scikit-learn)
- Solid SQL skills (joins, aggregations, relational data)
- Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics)
- Clear communication skills
- Strong learning mindset and interest in AWS/cloud technologies
- Comfortable working in a regulated environment
- Exposure to Amazon SageMaker
- Experience with Jupyter Notebooks
- Git and basic software engineering practices
- Data visualisation tools (e.g., Power BI)
- Financial services data exposure (risk, fraud, payments)
- Structured development and mentorship
- Hybrid working model
- Company pension
- 23–28 days holiday + bank holidays
- Birthday leave, charity day, wellbeing day, wedding leave