Lead data Scientist - Skipton Building Society

Key Responsibilities

• Design and implement advanced analytics and machine learning solutions to solve business problems and improve decision‑making across the organization.
• Lead the development of statistical models, predictive algorithms, and data pipelines, ensuring robustness, scalability, and reproducibility.
• Collaborate with business stakeholders to translate complex data insights into clear, actionable recommendations and visualisations.
• Mentor and guide junior data scientists, fostering best practices in coding, model validation, and documentation.
• Champion a data‑driven culture by presenting findings, conducting workshops, and influencing strategic initiatives.

Requirements

• 5+ years of hands‑on experience in data science, with a strong track record of delivering production‑grade machine‑learning models.
• Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data extraction and manipulation.
• Deep understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with data visualisation tools (e.g., Tableau, Power BI, or matplotlib) to communicate insights effectively.
• Familiarity with cloud platforms such as AWS (SageMaker, EMR, Lambda) for scalable model deployment.