Lead Data Scientist

Our client is seeking an accomplished Lead Data Scientist to drive the development and delivery of advanced data science solutions in a production environment. This permanent remote opportunity is suited to a senior data professional with strong technical expertise and proven leadership experience.

Key Responsibilities:

• Lead the design development deployment monitoring and retraining of machine learning and AI models.
• Apply advanced statistical modelling and data science techniques to solve complex business problems.
• Develop robust data science solutions using Python Jupyter Notebooks pandas NumPy and scikit-learn.
• Work with Delta Lake or comparable lakehouse architectures including PySpark feature stores training-data versioning and schema evolution.
• Develop and optimise data solutions using Azure Synapse Analytics Azure SQL T-SQL and/or ANSI SQL.
• Produce meaningful analytics and visualisations using Power BI and Python-based tools.
• Provide technical leadership and mentorship to data scientists.
• Take ownership of delivery and collaborate with senior stakeholders.
• Potentially lead an Agile delivery squad within the Platform organisation.

Requirements:

• 7 years experience across data science data analytics or data warehousing with substantial recent data science experience.
• At least 2 years experience in a technical or engineering leadership role.
• Bachelors degree in a STEM discipline or equivalent professional experience.
• Strong production-level experience across machine learning statistical modelling and AI system design.
• Advanced Python proficiency with strong experience in pandas NumPy scikit-learn and Jupyter.
• Experience with Delta Lake or comparable lakehouse environments and PySpark.
• Strong data warehousing and SQL expertise.
• Experience with Power BI and data visualisation.
• Demonstrated technical leadership mentoring and stakeholder management capabilities.
• Excellent written and verbal English communication skills.
• Willingness to travel to Johannesburg or Cape Town a few times per year for in-person meetings; proximity to either city is preferred.

Only shortlisted candidates will be contacted.
Submit your CV to or call .
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Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days please consider your application unsuccessful.