Data Science Learnership & Internship 2026/2027 – Praesignis

Company: Praesignis (Pty) Ltd

Industry: Data Engineering, Advanced Analytics & IT Consulting

Location: South Africa (Gauteng / Hybrid)

Position Type: 12-Month Learnership & Internship Programme

Programme Dates: 01 November 2026 – 30 October 2027

Enrolment Key: datascience2027

Job Category: Data Science, Machine Learning & Analytics

Posted Date: 22 September 2026

Closing Date: Open / Immediate Enrollment

About Praesignis & The Data Science Learnership

Praesignis is a premier South African data consultancy specializing in Business Intelligence, Data Engineering, Big Data, and Cloud Analytics. Following the successful delivery of their inaugural intake, preparations are officially underway for the next cohort of data learners.

The Data Science Learnership and Internship Programme (2026–2027) offers aspiring data professionals structured workplace training, practical technical mentorship, and hands-on exposure to industry-grade data science workflows. Running over 12 months, this program equips candidates with the skills needed to build machine learning models, analyze complex business data, and launch a successful career in advanced analytics.

Key Responsibilities & Learning Modules

During this 12-month learnership, participants will undergo structured technical training and practical workplace assignments across four core domains:

1. Applied Data Analysis & Statistical Modeling

• Data Exploration: Extract, clean, and analyze structured and unstructured datasets to uncover trends and operational insights.
• Statistical Techniques: Apply statistical algorithms, predictive modeling, and quantitative techniques to solve business problems.

2. Machine Learning & Predictive Analytics

• Model Building: Develop, test, and evaluate machine learning algorithms using Python and modern data science libraries.
• Data Pipelines: Learn how to integrate data science models into production data engineering and business reporting pipelines.

3. Data Visualization & Business Intelligence

• Dashboard Development: Design clear data visualizations and interactive dashboards to communicate technical insights to non-technical stakeholders.

4. Professional Workplace Development

• Mentorship: Work directly alongside experienced Praesignis data architects and intelligence consultants on real-world projects.

Candidate Profile & Entry Requirements

To qualify for consideration for this data science learnership, candidates should meet the following baseline criteria:

• Educational Background:
  • Grade 12 / Matric Certificate with strong performance in Mathematics or Mathematical Literacy (Essential).
  • Tertiary qualification (Diploma or Bachelor’s Degree) in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or Economics (Highly Advantageous).
• Technical Interest & Mindset:
  • Strong passion for programming, Python, SQL, data analytics, and artificial intelligence.
  • Good analytical, logical reasoning, and mathematical problem-solving capabilities.
• Personal Attributes:
  • High level of adaptability, curiosity, and commitment to completing a 12-month program.
  • Strong written and verbal communication skills.
  • Ability to work collaboratively within a team environment.
• Availability: Must be available full-time for the duration of the programme (01 November 2026 – 30 October 2027).

What Praesignis Offers

• 12-Month Structured Qualifications: Practical, industry-relevant workplace exposure backed by experienced data mentors.
• High-Demand Career Path: Entry into one of South Africa’s fastest-growing technology fields.
• Enterprise Exposure: Gain practical knowledge in enterprise data management, business intelligence, and cloud analytics.

Career Advice for Learnership Applicants

1. Highlight Programming & Math Background: Ensure any university coding projects (Python, SQL, R) or high school math achievements are featured on page 1 of your CV.
2. Include the Enrolment Key: Quote the official enrolment key datascience2027 in your application or portal registration.
3. Showcase Curiosity: Highlight personal online certificates (e.g., Coursera, Kaggle, Udemy, DataCamp) to demonstrate self-driven interest in data science.

Sample Interview Questions for Data Science Learners

Analytical Aptitude & Interest

• Question (Problem Solving): “How would you explain the difference between supervised and unsupervised machine learning to someone without a technical background?”
• Question (Data Cleaning): “Data is rarely clean in the real world. What steps would you take in Python or Excel to fix missing or inconsistent values in a dataset?”

How to Apply & Contact Information

Enrol or submit your application directly to Praesignis using the details below:

• Company: Praesignis (Pty) Ltd
• Enrolment Key: datascience2027
• Official Website: www.praesignis.com
• Email Enquiries: info@praesignis.com
• Telephone: +27 11 022 6812

Apply here | Enrolment Key: datascience2027