Support the development and maintenance of data science tools, improving automation, efficiency, and scalability
Work closely with data scientists and stakeholders to refine and enhance our internal modelling and data analysis tools, transforming manual workflows into reliable infrastructure
Support in the hands-on development of AI agents and rapid Proofs of Concept (POCs)
Implement and improve machine learning workflows, supporting the deployment and monitoring of models
Act as frontline technical support, troubleshooting and applying user feedback to iteratively improve internal tools
Write clean, testable code and maintain clear technical documentation
Manage development tickets within an Agile environment

Currently pursuing an undergraduate degree in Computer Science, Software Engineering, Data Science
Proficiency in Python, specifically with popular libraries like Pandas and NumPy
Highly capable with Microsoft Excel and the wider MS Office suite
Exposure to SQL for querying and managing structured datasets
Theoretical understanding of machine learning concepts and statistical techniques
Foundational experience with version control (Git) and collaborative coding environments
Good communication skills
Pragmatic approach to problem solving (NICE TO HAVE)
Inquisitive engineering mindset with a strong desire to build and automate (NICE TO HAVE)
Highly organised with strong attention to detail (NICE TO HAVE)
Be a genuine team player whilst also being able to deliver on a task you are responsible for (NICE TO HAVE)
Quick learner, pro-active mindset, resourceful, and able to think for self (NICE TO HAVE)
Interest in econometrics or familiarity with CI/CD concepts would be useful but not essential (NICE TO HAVE)

Junior Data Science Engineer – 1 Year Placement

Key skills