Senior Data Scientist (ML Ops)

About The Role In this role you’ll work on the design and implementation of deploying models into production, ensuring robust and maintainable pipelines. You’ll collaborate closely with stakeholders, building strong relationships to understand their challenges and translate complex data problems into practical, impactful solutions.

We’re looking for someone with strong expertise in Python, machine learning and MLOps, who can combine technical rigor with a consultative mindset. You’ll act as a trusted advisor, identifying opportunities where data science can add value, shaping roadmaps and raising the profile of Data Science in the wider business. This role blends hands-on implementation, operational excellence and strategic collaboration to deliver measurable business outcomes.

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• Thorough knowledge of the Python language
  
• Working understanding of MLOps and DevOps frameworks
  
• Daily use of GitHub, including version control, collaboration, testing and CI/CD
  
• Superb written and verbal communication skills and demonstrated ability to communicate complex technical and statistical ideas to non-specialists effectively
  
• Experience in cloud platforms such as Azure, AWS, and Databricks
  

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• Collaborate closely with key stakeholders
  
• Refactor and optimise existing Python code to improve performance, readability, and maintainability
  
• Design and implement new project code and MLOps frameworks for the deployment of models in production
  
• Educate wider business on what Data Science is and increase Data Science team visibility
  
• Partner with client teams to identify opportunities where data science could add value, helping generate demand and shape a roadmap for future work
  
• Monitor existing production pipelines, addressing any issues in a timely manner to ensure smooth and continuous operation