Data Scientist Internship Job Opportunity at Praesignis (Pty) Ltd

Alright, let me tackle this job post rewrite. First, I need to understand the original content and the user’s requirements. The user wants the job advertisement to be professional, natural, and formatted neatly using simple English. They specified that the output should be plain HTML starting with a tag and without any unnecessary tags like , , etc.

Looking at the original job description, it’s a bit cluttered with some extra spaces and the “Requirements” and “Key Responsibilities” sections could be more visually distinct. I’ll start by breaking down the content into clear sections: Job Title, About Us, Role Overview, Requirements, Key Responsibilities, and a closing note.

I’ll make sure to use simple language but keep it professional. Bullet points will help in making the requirements and responsibilities stand out. Also, the user mentioned that N4–N6 students aren’t eligible, so I’ll highlight that clearly under Requirements.

Since the output needs to be HTML, I’ll use for basic text and

with
• for lists to keep it clean. No styling tags, just plain formatting. I’ll also ensure that the original information is preserved but presented more clearly.

  Let me structure it step by step: start with the job title, then a brief intro about the company and the role. Next, list the requirements using bullet points, followed by key responsibilities in another bullet list. Finally, a closing statement to encourage applications.

  I should avoid any jargon and keep sentences concise. Also, make sure that the note about N4–N6 students is noticeable. Double-checking to ensure all original points are covered and formatted properly within the tag as requested.

  Okay, putting it all together now.
  

  Data Scientist Intern Opportunity

  We seek a curious and detail-oriented Data Scientist Intern to help transform raw data into actionable insights. Join our team to gain practical experience in data analysis while contributing to meaningful business solutions.

  About This Role

  Work alongside experienced professionals to support data-driven decision making through:

  • Real-world dataset analysis
  • Machine learning model development
  • Clear data storytelling

  Qualifications Needed

  • Completed 3-year degree/diploma in Data Science, Statistics, Computer Science or related field
  • OR NQF Level 5 certification in relevant field
  • Basic programming knowledge (Python/SQL preferred)
  • Strong analytical and communication skills

  Note: N4-N6 students do not qualify per MICT SETA regulations

  Daily Responsibilities

  • Clean and prepare datasets for analysis
  • Help build predictive models
  • Create clear data visualizations
  • Collaborate with technical and business teams
  • Complete NQF Level 5 learning modules

  Growth Opportunities

  This internship offers hands-on experience with professional mentorship and skills development in fast-growing data fields.