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 drew.guinnane@hunterphilps.com or apply directly to this advert.