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Data Scientist (Entry)

Sabenza IT & Recruitment

Job Location:

Pretoria - South Africa

Monthly Salary: Not provided by the employer
Posted: 29 June 2026 (30+ days ago)
Application Deadline: 26 September 2026
Vacancies: 1 Vacancy
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Job Summary

Ready to turn data into powerful business solutions Join a fast-paced innovative team where youll 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 productionise solutions.
  • Contribute to best practices in data quality governance and the responsible use of AI.


Requirements
  • 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 NumPy Scikit-learn PyTorch or TensorFlow.
  • 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.



    • Required Skills:

    ETL designSpark Kafka or equivalentPyTorch and/or TensorFlowScikit-learnPandasNumPy

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