Data Scientist; Entry

Pretoria, South Africa | Posted on 29/06/2026

Ready to turn data into powerful business solutions? Join a fast-paced, innovative team where you'll work with AI, Machine Learning, and advanced analytics to solve real-world challenges.

Your responsibilities will include:

• Translate business problems into data-driven and AI-enabled solutions.
• Perform exploratory data analysis (EDA) to uncover patterns, issues, and opportunities.
• Design, build, and maintain data pipelines for analytics and modelling.
• Develop, train, evaluate, and enhance Machine Learning and AI models.
• Apply model evaluation techniques and define success metrics.
• Support operational data workflows and resolve day-to-day data processing issues.
• Produce dashboards, reports, and visualisations that drive business decisions.
• Communicate insights, model behaviour, and recommendations to technical and business stakeholders.
• Collaborate with Data Engineering, AI Platform, and Observability teams to product ionise solutions.
• Contribute to best practices in data quality, governance, and the responsible use of AI.

• A relevant qualification in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.
• Strong knowledge of data analysis, exploratory data analysis (EDA), and feature engineering.
• A solid foundation in applied statistics and Machine Learning.
• Proficiency in Python and data science libraries such as Pandas, Num Py, Scikit-learn, PyTorch, or Tensor Flow.
• Experience with SQL and querying structured and semi-structured data.
• Knowledge of ETL design and batch/streaming data processing.
• Exposure to distributed data systems such as Spark, Kafka, or equivalent.
• Experience with experiment design, model evaluation, and validation techniques.
• Ability to create dashboards, reports, and data visualisations.
• Experience using Git for version control and collaborative development.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate business requirements into practical, data-driven solutions.
• A collaborative mindset with the ability to work effectively in Agile, cross-functional teams.