• 06/07/26
• London, London
• £650 - 750 per day
• Contract
• Analytics, Data, AI and ML
• Full time

Principal Data Scientist 

Machine Learning | ML | Data Science 

Remote (EU only)
Long term contract 12 months 
Competitive day rates

We are looking for a Principal Product Data Scientist to join a team developing predictive maintenance products and advanced machine learning solutions for a FTSE 100 organisation. 

This is a senior individual contributor role for someone who combines strong machine learning expertise with excellent software engineering practices and a product-focused mindset.

You'll have ownership of projects from initial problem definition through to the delivery of production-ready solutions, working on real-world challenges where data science directly influences product direction and business outcomes.

What You'll Be Doing

• Designing, developing and deploying machine learning models
• Building production-grade data science products
• Translating business challenges into robust modelling approaches
• Working across the full data science lifecycle, from discovery through to deployment
• Maintaining high standards of code quality and engineering practice
• Reviewing code and contributing to collaborative development processes
• Explaining complex results and recommendations to both technical and non-technical audiences

What We're Looking For

• Extensive commercial experience in machine learning and predictive modelling
• Strong software engineering capability, ideally in Python
• Experience deploying and maintaining machine learning models in production
• Deep understanding of modern machine learning techniques and their underlying principles
• Ability to work independently and lead complex initiatives
• Strong communication and stakeholder engagement skills

Desirable

• Predictive maintenance experience
• MLOps and model deployment experience
• Cloud-based machine learning platforms
• Experience building customer-facing or product-focused solutions

We're interested in individuals who have successfully built and delivered machine learning products in complex environments.