Senior Data Scientist (Lead Data Analyst)
Location: Sandton
Salary: Market related
Senior data science is not a back-room role. Here, your judgement shapes enterprise decisions and production AI.
Is this you?
Commercially curious and technically credible, you enjoy bringing structure to ambiguous business challenges. You are equally comfortable challenging an executive assumption, guiding a technical team and getting hands-on with complex data. Adaptability and clear thinking come naturally, especially when information is incomplete or intermittent.What you’ll be doing (and why you’ll enjoy it)
Translate business challenges into defined analytics frameworks, data requirements, mathematical approaches and measurable success criteria. You will lead discovery workshops, advise enterprise stakeholders and design scalable AI architectures while remaining hands-on with machine learning models, forecasting, optimisation and data pipelines. From validation through production deployment, you will guide delivery, strengthen governance and mentor data scientists and data engineers towards operational and financial impact.Where you’ll be doing it
Within an enterprise consulting environment, advanced analytics is closely connected to practical business decisions. The organisation values robust technical execution, clear client communication and long-term stakeholder relationships. You will work across technical and executive audiences in a culture that supports collaboration, sound governance and continuous learning.What you’ll need
A track record spanning 10 to 14 years in data science, advanced analytics or AI engineering is essential, including direct technical team leadership and complex project delivery. You need extensive client-facing, B2B or internal consulting experience, advanced Python and SQL capability, and applied expertise in machine learning, deep learning and generative AI. Cloud infrastructure, MLOps and enterprise data processing experience are also required.What you’ll get
The real value lies in the breadth of influence. You will own work from business discovery and architecture through to production deployment, advise senior decision-makers and shape how technical teams deliver. It is a chance to deepen your applied AI expertise while building strong practices across modelling, governance and scalable delivery.How to apply
For a confidential discussion please contact Judy Engelbrecht on LinkedIn, (010) 065 1655 or send your CV to judy.engelbrecht@ttec.co.za – we appreciate that your CV might not be fully up to date. No problem, just send us what you have. We do respond to everyone! Just give us a few days to work through your application.Applicant Consent
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