Data Scientist

Data Scientist – Enterprise AI

About Us

We bring together exceptional minds to build AI solutions that businesses genuinely want to adopt. Our Enterprise AI platform is designed to make the power of AI accessible regardless of technical background – removing the barriers that have historically kept organisations from realising AI’s potential.

The Role

As a Data Scientist on our team, you will work at the intersection of cutting-edge research and real-world industrial application. From day one you will have meaningful ownership – your design decisions, your code, and your thinking will directly shape products that solve some of the most complex challenges our customers face. This is a role for someone who wants to make an impact early in their career, not wait for permission to do so.

What You Will Do

• Design and develop supervised and unsupervised machine learning models – including gradient boosting, nearest-neighbour, and ensemble approaches – tailored to complex industrial problems
• Build Generative AI applications leveraging both open-source and proprietary large language models
• Develop Explainable AI modules that translate model outputs into clear, actionable insights for end users
• Implement optimisation algorithms using trained machine learning surrogate models
• Build uncertainty quantification modules that communicate prediction confidence transparently to stakeholders
• Translate cutting-edge AI research from published scientific literature into production-ready implementations
• Contribute to our thought leadership by writing technical articles and blog posts on industrial AI use cases

What We Are Looking For

Qualifications

• Master’s degree in Data Science, with an engineering discipline as your undergraduate foundation
• Deep proficiency in Python – this is your primary tool and we expect you to be genuinely strong in it
• Excellent written and verbal communication skills – you will be explaining complex ideas to technical and non-technical audiences alike
• Working familiarity with Linux environments
• Basic understanding of containerisation, particularly Docker
• Awareness of GPU-based parallel computing and its role in AI workloads

Experience

• At least one year of industry experience applying AI in a commercial setting – we want to see that you have taken models beyond the notebook and into the real world