Junior Data Scientist

Purpose of the Role

The Junior 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.

Main Functions of the Job

Data Engineering

• Design and build data pipelines (supporting use of data).
• Include processes of data quality, monitoring, and resolution.
• Incorporate best practices of managing “big data” (i.e. high volume, high velocity, high variety).

Artificial Intelligence

• Build 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.

Business Intelligence

• Deliver actionable insights from data.
• Build insightful data visualisations to communicate findings effectively.

Skill Requirements

• Excellent written and verbal communication skills.
• Clearly articulates ideas and thoughts.
• Active listening and the ability to understand complex requirements.
• Problem-solving mindset with a proactive approach.
• Capability to work independently and as part of a team.
• Self-motivated and professional demeanour.
• Commitment to self-development and continuous learning.
• Attention to detail and accuracy.
• Good prioritisation and organisation skills.

Qualifications and Experience

• 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.