Data Scientist

Job Requisition ID

11989

Closing Date

16  April 2026 

OME

Marketing and Sales Southern Africa

Location

Sandton, Gauteng 

Purpose of Job

The Data Scientist is responsible for the development, operationalisation and modification of data science products in accordance with sound analytical principles and standards to deliver business value by enabling data-driven business decisions.He/She will work closely with Senior Data Scientists and business technical teams to extract business insights, predictions and recommendations. He/She will apply knowledge of recent techniques and research to propose new approaches and methodologies to apply to business opportunities; including applied AI techniques and data‑driven automation where appropriate.He/She will lead less‑complex projects and will be required to support larger projects through the guidance of Senior Data Scientists.

Key Accountabilities

• Lead / support the end-to-end development of Data Science products in accordance with sound analytical principles and data science standards to address business requirements.
• Lead less‑complex projects and support larger projects under the guidance of Senior Data Scientists.
• Apply Data Science knowledge (Advanced Analytics / Machine Learning / Simulation) with general awareness across all areas of Data Science, and basic exposure to modern AI techniques (e.g. NLP, computer vision, or generative AI concepts).
• Demonstrated experience using modern data science programming languages and platforms (e.g. Python and SQL), with exposure to cloud‑based analytics platforms (Azure, Databricks) and emerging AI frameworks).
• Apply basic version control practices to manage code, analytical artefacts and model iterations  (e.g. Git, MLFlow, etc.)
• Ensure solutions are secure, sustainable and adequately packaged for support handover, including basic documentation and awareness of deployment and operational considerations.
• Fulfil the Data Scientist role on multiple projects using Agile and/or Waterfall execution methods.
• Consider latest trends, best practices and technologies to differentiate between complex problem types and modelling approaches, with awareness of responsible and ethical use of AI.
• Actively seek customers where support can be offered and proactively identify real business needs.
• Ability to clearly explain technical concepts, analytical approaches and model outputs to non‑technical business stakeholders in a structured and actionable manner.

Formal Education

• 4 year University Bachelor’s Degree (Data Science, Engineering, Computer Science, Mathematics)
• Postgraduate qualification in a quantitative or analytical field will be advantageous.

Minimum Experience

• 3 years relevant experience

Certification

• Exposure to relevant data science, cloud or applied AI certifications will be advantageous.

Required Personal and Professional Skills