Data Scientist

Job Title: Data Scientist

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

About Our Client:

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.

Position Summary:

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.

Key Responsibilities:

· 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.

Qualifications:

· 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.