Wire Speed Systems Data Science Practitioner Learnership 2026 for unemployed South African youth.

SETA-Funded Data Science Learnership 2026 at Wire Speed Systems Now Accepting Applications

South Africa’s growing digital economy continues to create opportunities for young people interested in technology, analytics, and innovation. Wire Speed Systems is inviting unemployed South African youth to apply for its Data Science Practitioner Learnership Programme, a SETA-funded opportunity designed to develop practical and theoretical skills in data science and analytics.

Opportunity Overview

  • Programme: Data Science Practitioner Learnership
  • Company: Wire Speed Systems (Pty) Ltd
  • Programme Type: SETA-Funded Learnership
  • Location: Northcliff, Johannesburg, Gauteng
  • Employment Type: Fixed-Term Learnership
  • Application Status: Open
  • Stipend: Monthly learner allowance provided (amount not specified)
  • Duration: Full learnership duration as determined by the programme

About Wire Speed Systems

Wire Speed Systems is a South African ICT company that delivers technology solutions and skills development programmes. The company operates in areas including digital transformation, data analytics, cybersecurity, cloud solutions, networking, and enterprise technology services.

What the Learnership Offers

Successful learners will receive exposure to:

  • Data collection and processing
  • Data analysis techniques
  • Business intelligence fundamentals
  • Emerging technologies
  • Analytical thinking
  • Problem-solving methodologies
  • Professional workplace practices
  • Workplace readiness training

The programme combines structured learning with practical workplace experience to prepare participants for careers in the digital economy.

Eligibility Requirements

Applicants must:

  • Be South African citizens
  • Possess a valid South African ID
  • Be currently unemployed
  • Be available for the full duration of the programme
  • Have a National Senior Certificate (Matric)
  • Have an NQF Level 4 qualification and/or relevant technical course
  • Possess basic computer literacy skills
  • Demonstrate interest in Data Science, Analytics, and Technology
  • Be committed to learning and professional development

Stipend Details

The learnership includes a monthly stipend for successful learners. However, the exact stipend amount has not been disclosed by the employer. Applicants are encouraged to confirm the stipend during the recruitment process.

Required Documents Checklist

Prepare the following documents before applying:

☑ Updated CV

☑ Certified copy of South African ID (not older than 6 months)

☑ Certified copy of Matric Certificate

☑ Certified copies of additional qualifications or certificates

☑ Affidavit confirming you are not currently enrolled in another SETA-funded programme

How to Apply

Step 1

Update and review your Curriculum Vitae (CV).

Step 2

Gather and certify all required supporting documents.

Step 3

Complete the application through the official Wire Speed Systems recruitment platform.

Step 4

Submit your application before positions are filled.

Step 5

Wait for communication from the recruitment team regarding the next stages of the selection process.

Closing Date

No official closing date has been specified.

Applicants are advised to submit their applications as soon as possible because learnership opportunities often receive high volumes of applications.

Why You Should Apply

This learnership provides:

  • Industry-recognised skills development
  • Practical workplace experience
  • Exposure to modern data technologies
  • Improved employability
  • Career development opportunities in the technology sector
  • Access to a growing digital industry

Career Pathways After Completion

After successfully completing the programme, learners may pursue careers such as:

  • Junior Data Analyst
  • Data Technician
  • Business Intelligence Assistant
  • Data Administrator
  • Reporting Analyst
  • ICT Support Specialist
  • Junior Analytics Consultant

The skills acquired can also support further studies in Data Science, Analytics, Artificial Intelligence, Information Technology, and Business Intelligence.

Explore More Opportunities:

Frequently Asked Questions (FAQs)

Who can apply for the Wire Speed Systems Data Science Practitioner Learnership?

Unemployed South African citizens who meet the educational requirements and have an interest in technology and data science.

Is the learnership paid?

Yes. Successful learners receive a monthly stipend, although the amount has not been specified.

Do I need previous work experience?

No previous work experience is mentioned as a requirement.

What qualification is required?

Applicants must have Matric and an NQF Level 4 qualification and/or a relevant technical course.

Where is the learnership based?

The programme is based in Northcliff, Johannesburg, Gauteng.

Is this a permanent job?

No. This is a fixed-term SETA-funded learnership programme.

Can I apply if I am already enrolled in another SETA programme?

No. Applicants must provide an affidavit confirming they are not currently participating in another SETA-funded programme.

Expert Guidance (E-E-A-T) – Mbalizuke Nkosi

According to career development specialist Mbalizuke Nkosi, Data Science remains one of the fastest-growing career fields globally. Learnerships such as this provide an important entry point for young South Africans seeking practical workplace experience while gaining industry-relevant skills. Candidates can strengthen their applications by highlighting computer literacy, problem-solving abilities, analytical thinking, and any exposure to technology-related projects or training.

Disclaimer

Youthscope shares opportunity information for educational and informational purposes only. We are not the recruiting organisation and do not process applications. Applicants should always verify information through the official employer recruitment channels before submitting personal information. We never request payment for job, internship, bursary, apprenticeship, or learnership applications.

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