Intermediate Data Scientist – Hybrid (Cape Town)

About the role

This position is for an intermediate‑level Data Scientist working in a hybrid model from Cape Town. You will support both internal and external projects for a global logistics organisation, with an upcoming focus on migrating analytics to the cloud.

Key responsibilities

• Partner with business stakeholders to translate analytical requirements into data‑driven solutions.
• Develop, test and refine statistical and machine‑learning models to solve complex business problems.
• Design, execute and evaluate experiments that generate actionable insights.
• Analyse large, complex datasets to uncover trends, patterns and opportunities.
• Collaborate with software engineering teams to deploy models into production environments.
• Create engaging reports, dashboards and visualisations using Power BI.
• Stay current with emerging data‑science technologies and best practices.

Required profile

• Commercial experience in a Data Science, Analytics or Machine Learning role.
• Strong grasp of statistical concepts such as regression, hypothesis testing, probability distributions and model evaluation.
• Proven ability to translate business needs into practical analytical solutions.
• Excellent communication skills for both technical and non‑technical audiences.
• Collaborative mindset and attention to detail.

Required skills

• Python
• SQL
• Power BI
• R (desirable)
• Microsoft Azure (desirable)
• AWS (desirable)
• MLOps practices (desirable)