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Data Scientist

Job in Cape Town, 7100, South Africa
Listing for: iO Associates
Part Time position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 5500 ZAR Daily ZAR 5500.00 DAY
Job Description & How to Apply Below

Contract Data Scientist | 3-6 Months | Immediate Start | Up to ZAR 5,500 per day | Hybrid

We're partnering with a fast-growing online sports entertainment business looking for an experienced Data Scientist to help build an in-house customer segmentation capability. This is a high-impact project focused on replacing a third-party solution with scalable machine learning models that drive customer segmentation, personalised promotions and campaign targeting.

This is an initial 3-6 month contract with an immediate start, offering the opportunity to shape a business-critical capability with strong potential for extension.

What you'll be doing
  • Develop, deploy and optimise machine learning models for customer segmentation and personalisation.
  • Build and product ionise models on an existing AWS data platform, applying MLOps best practices.
  • Analyse large datasets to uncover customer insights and improve engagement.
  • Collaborate with the Head of Data, Head of CRM and engineering teams to deliver a scalable in-house solution.
  • Present insights to technical and non-technical stakeholders and document model development.
What we're looking for
  • Proven commercial experience delivering machine learning models into production.
  • Strong Python, SQL and AWS skills.
  • Experience with customer segmentation or predictive modelling.
  • Hands-on experience with MLOps and machine learning frameworks such as scikit-learn or Tensor Flow.
  • Comfortable working in Agile, cross-functional teams with end-to-end ownership of solutions.
What's on offer?
  • Up to ZAR 5,500 per day
  • Initial 1 with immediate start
  • High-profile project with strong extension potential
  • Modern AWS environment and genuine ownership of a strategic machine learning initiative
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