Data Scientist

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Direct message the job poster from Hunter Philips Executive Search.

Location: Birmingham, UK (Hybrid – 3 days in office).

I am working on behalf of a leading client in the energy and smart infrastructure sector, developing AI‑driven solutions to improve operational performance, efficiency, and sustainability across complex systems.

My client is seeking an experienced Data Scientist to join their technology team. The role focuses on validating and improving AI/ML models used in operational and infrastructure applications. The ideal candidate will have hands‑on experience in model validation, data analysis, and working with large, complex datasets in production environments.

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• Design and implement validation frameworks to ensure AI/ML models meet performance, accuracy, and reliability standards.
  
• Conduct experiments and analyse model outputs, providing actionable insights to improve model performance.
  
• Develop automated testing pipelines to streamline model validation processes.
  
• Collaborate with Data Engineers, ML Engineers, and cross‑functional teams to optimise data quality and model deployment.
  
• Prepare and present validation results, metrics, and recommendations to stakeholders.
  
• Ensure adherence to data governance standards and industry best practices.
  

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• 5+ years’ experience in AI/ML model validation, ideally in energy, smart infrastructure, or industrial automation.
  
• Proficiency in Python, R, or MATLAB, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
  
• Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies.
  
• Experience preparing and wrangling large datasets for model validation.
  
• Familiarity with cloud platforms (AWS, Azure, GCP) and production deployment of ML models.
  
• Excellent problem‑solving, analytical, and communication skills.
  

If you’re interested in applying for this exciting position, email your CV to or apply directly to this advert.