Boutique executive search specialists for global renewable energy projects.
Collaborate with Data Engineers, ML Engineers, and cross-functional teams to optimise data quality and model deployment.
Ensure adherence to data governance standards and industry best practices.
Prepare and present validation results, metrics, and recommendations to stakeholders.
Conduct experiments and analyse model outputs, providing actionable insights to improve model performance.
Design and implement validation frameworks to ensure AI/ML models meet performance, accuracy, and reliability standards.
Develop automated testing pipelines to streamline model validation processes.
Excellent problem-solving, analytical, and communication skills.
Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies.
Familiarity with cloud platforms (AWS, Azure, GCP) and production deployment of ML models.
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.
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.
Experience preparing and wrangling large datasets for model validation.
Location: Birmingham, UK (Hybrid – 3 days in office)