Junior​/Graduate Data Scientist

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.

You will work primarily with Python, SQL, and AWS (including Amazon Sage Maker) 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 Sage Maker 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.

• 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 Sage Maker
• 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
• days holiday + bank holidays
• Birthday leave, charity day, wellbeing day, wedding leave