For anyone passionate about data science and eager to gain hands-on experience in the field, Praesignis (Pty) Ltd offers an exceptional internship opportunity. The company is currently looking for a motivated and analytical Data Scientist Intern to join their team in Johannesburg.
This is an incredible chance for a recent graduate or someone with the right qualifications to immerse themselves in real-world data challenges, develop essential skills, and learn from seasoned professionals in the industry.
Who is the Ideal Candidate?
Praesignis is looking for an intern who has a keen interest in data science, machine learning, and analytics. The ideal candidate should be someone who thrives in analytical environments and is eager to learn and develop their skills in real-time projects.
To qualify for this internship, candidates need to meet the following educational criteria:
- A completed three-year tertiary qualification (Degree or Diploma) in a related field, such as Data Science, Statistics, Computer Science, Information Technology, or a similar discipline.
- Alternatively, a completed Higher Certificate or Occupational Qualification at NQF Level 5 in the same or related field will also be considered.
It is important to note that candidates who are currently studying or have completed N4-N6 qualifications are not eligible for this internship, in line with MICT SETA guidelines.
Key Responsibilities
As a Data Scientist Intern at Praesignis, the successful candidate will be involved in several key tasks designed to build their technical skills and deepen their understanding of data science practices. The intern will be expected to:
- Assist in data collection and cleaning: The intern will be responsible for gathering large datasets and ensuring that the data is clean and structured for analysis.
- Data analysis and model development: They will assist in analyzing the data, testing algorithms, and developing data models to gain insights that can influence business strategies.
- Data visualization and reporting: The intern will have the opportunity to prepare visualizations and reports that clearly communicate key findings to stakeholders. This includes using data visualization tools to make the data easier to understand for those without technical backgrounds.
- Problem-solving with data: The intern will contribute to solving real-world business challenges by applying data science techniques. This will include providing valuable insights that can help improve business decisions.
- Collaboration: Working alongside cross-functional teams—including business analysts, developers, and other stakeholders—the intern will collaborate and contribute to the success of various data-driven projects.
- Documenting and reporting: Clear documentation of processes, findings, and project outcomes will be an essential part of the internship. This ensures that the results and techniques used are easily understandable and accessible for future reference.
What Skills and Qualities are Required?
In addition to the educational qualifications, Praesignis is looking for candidates who possess the following skills and qualities:
- Strong interest in Data Science and Analytics: A passion for data science and a desire to grow in the field is a must. The successful candidate should be excited about learning new technologies and techniques to analyze and interpret data.
- Familiarity with Programming and Data Analysis Tools: While not mandatory, knowledge of programming languages such as Python or SQL is an advantage. Familiarity with tools for data analysis, such as Jupyter Notebooks or Excel, is also beneficial.
- Problem-Solving Skills: The intern will be required to think critically and creatively to solve complex problems using data. Strong problem-solving skills will be essential.
- Teamwork and Communication: Data science is often a collaborative effort, and candidates must be comfortable working in teams. Clear communication is key, as the intern will need to explain technical findings to non-technical stakeholders.
- Eagerness to Learn: As this internship will involve significant learning, the intern should have a desire to expand their knowledge in the field of data science. The intern will also be required to participate in learning sessions and complete the NQF Level 5 Data Science Practitioner qualification.
How to Apply
Interested candidates should apply before the deadline of July 1, 2025. The application process involves submitting a CV, along with any supporting documents such as academic transcripts or certifications. Shortlisted candidates will be contacted for an interview and may be required to complete a technical assessment to evaluate their skills and suitability for the internship.
This internship is an excellent stepping stone for anyone looking to build a career in data science and analytics. By joining Praesignis, interns will gain a solid foundation in the field, develop practical skills, and open doors to future opportunities in data science and related fields.
Check also: Microsoft Internship Programme 2025 / 2026
