Teraco Data Environments
2026/03/06 Gauteng
Job Reference Number: Grad_DSJB1
Department: Operations
Business Unit
Industry: Information Technology
Job Type: Contract
Positions Available: 2
Salary: Market Related
Purpose of the Role The Graduate Data Scientist will deliver value by improving and supporting the Teraco data and analytics capability. This includes components of data engineering, artificial intelligence, and business intelligence.
Job Description
MAIN FUNCTIONS OF THE JOB
Data Engineering
Skills Requirement
2026/03/06 Gauteng
Job Reference Number: Grad_DSJB1
Department: Operations
Business Unit
Industry: Information Technology
Job Type: Contract
Positions Available: 2
Salary: Market Related
Purpose of the Role The Graduate Data Scientist will deliver value by improving and supporting the Teraco data and analytics capability. This includes components of data engineering, artificial intelligence, and business intelligence.
Job Description
MAIN FUNCTIONS OF THE JOB
Data Engineering
- Design and build data pipelines.
- Incorporate best practices of managing “big data” (i.e. high volume, high velocity, high variety).
- Build and deploy AI models.
- Incorporate best practices of “MLOps” for managing the lifecycle of models. E.g. data preparation, model training, feature selection, evaluation, model selection, deployment, monitoring, maintaining.
- Deliver actionable insights from data.
- Build insightful data visualisations to communicate findings effectively
Skills Requirement
- Excellent communication skills – clearly articulate ideas and thoughts.
- Ability to understand and simplify the complex.
- Problem-solving mindset.
- Capability to work independently and as part of a team.
- Self-motivated and professional.
- Commitment to continuous learning.
- Attention to detail and accuracy.
- Degree in Data Science, Statistics, Computer Science, or a related field.
- Experience with data, analysis and machine learning models using tools like Python, R, or similar.
- Experience with coding using Python (preferred) or similar.
- Experience with database querying using SQL.
- Experience with data engineering concepts.
- Experience with machine learning concepts and algorithms.