Lead Data Scientist

Our client is seeking an experienced Lead Data Scientist to take technical ownership across machine learning, statistical modelling and production AI solutions. This is a hands‑on leadership role for a data science professional who can combine advanced technical expertise with team mentorship, delivery ownership and strong stakeholder engagement.

• Design, develop and deploy machine learning and AI solutions into production environments.
• Apply statistical modelling and advanced data science techniques to solve complex business problems.
• Manage the full model lifecycle, including deployment, monitoring, evaluation and retraining.
• Develop robust data science solutions using Python and associated data science libraries.
• Work with lakehouse architectures, feature stores and training-data versioning.
• Develop and maintain data pipelines and support schema evolution.
• Work with Azure data warehouse technologies and large-scale datasets.
• Produce insightful analytics and visualisations using Power BI and Python-based tools.
• Provide technical direction and mentorship to data scientists.
• Take ownership of delivery and contribute to technical planning and execution.
• Communicate technical concepts, findings and recommendations effectively to senior stakeholders.
• Where required, lead an Agile delivery squad within the Platform organisation.

• 7+ years' experience across data science, data analytics or data warehousing, with substantial recent data science experience.
• 2+ years' experience in a technical or engineering leadership role.
• Bachelor's degree in a STEM discipline or equivalent professional experience.

• Strong experience with Jupyter Notebooks, pandas, Num Py and scikit-learn.
• Proven experience with machine learning, statistical modelling and production AI system design.
• Experience deploying, monitoring and retraining production models.
• Experience with Delta Lake or comparable lakehouse architectures.
• Strong knowledge of PySpark, feature stores, training-data versioning and schema evolution.
• Strong data warehouse experience, including Azure Synapse Analytics, Azure SQL, T-SQL and/or ANSI SQL.
• Strong Power BI and Python-based analytics/visualisation experience.
• Proven experience mentoring data scientists and leading technical delivery.
• Excellent written and verbal English communication skills.