Job Description

iqbusiness South Africa is inviting applications for a Data Science Practitioner Learnership (NQF Level 5) based in Johannesburg, Gauteng.

This immersive learnership programme is designed to help candidates build foundational data science capabilities through structured training and practical workplace experience.

The programme is ideal for individuals who want to enter the data and analytics field and develop skills in data analysis, visualisation, programming, data management, reporting, and analytical problem-solving.

This is a fixed-term learnership programme and does not guarantee permanent employment after completion.

Key Learning Areas

• Data analysis and visualisation.
• Introduction to programming for data.
• Data management and reporting.
• Analytical problem-solving.
• Practical workplace exposure in data and analytics.
• Foundational data science concepts and tools.

Responsibilities

• Participate in structured data science learnership training.
• Complete workplace-based learning activities.
• Develop practical data analysis and reporting skills.
• Learn introductory programming concepts for data.
• Support data management and analytics-related tasks.
• Apply analytical thinking to solve basic data problems.
• Complete learnership assessments and programme requirements.
• Follow workplace instructions and professional standards.
• Commit to the full 12-month learnership agreement.

Requirements

• Grade 12 pass or equivalent at NQF Level 3.
• English pass of 50% and above.
• Mathematics pass of 50% and above.
• Mathematics Literacy pass of 60% and above.
• Diploma or higher qualification.
• Must be an Employment Equity candidate.
• Interest in data science, analytics, and information technology.
• Must be willing to enter into a fixed-term learnership agreement.

Important Information

• This is a learnership programme, not permanent employment.
• Successful candidates will enter into a fixed-term learnership agreement.
• Completion of the programme does not guarantee permanent placement.

Skills

• Data analysis
• Data visualisation
• Analytical thinking
• Problem-solving
• Programming interest
• Data management
• Reporting
• Computer literacy
• Communication skills
• Attention to detail
• Willingness to learn
• Time management
• Teamwork
• Information technology interest