Lead Data Scientist

Teraco; Gauteng; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A data-driven technology company in South Africa is seeking a Lead Data Scientist responsible for shaping and executing data strategies. This role involves leading AI and machine learning initiatives while fostering a data-driven culture within the organization. Ideal candidates should possess strong analytical and leadership skills, with a focus on innovation and continuous improvement.

Qualifications

• Experience in shaping and executing data strategy.
• Strong knowledge of AI and machine learning practices.
• Familiarity with data governance and data lifecycle management.

Responsibilities

• Collaborate with stakeholders to identify data solutions.
• Lead design and implementation of AI/ML analytics.
• Build a modern data platform with governance frameworks.
• Serve as a trusted advisor and mentor within the team.

Skills

Data strategy execution

Artificial Intelligence/ML expertise

Data governance

Data engineering

Data-driven innovation

Job description

Purpose of the Role

The Lead Data Scientist is responsible for :

• Shaping and executing Teraco's data and analytics strategy,
• Driving business innovation through the effective use of data and analytics,
• Fostering a data-driven and model-driven culture,
• Ensuring that data and analytics capabilities support business objectives.

Main Functions of the Job

Artificial Intelligence

• Collaborate with stakeholders to identify opportunities for data and analytics driven solutions.
• Lead the design, implementation, and use of artificial intelligence / machine learning and analytics.
• Design and incorporate best practices of “MLOps” for managing the lifecycle of models / solutions. E.g. data preparation, model training, feature selection, evaluation, model selection, deployment, monitoring, maintaining, code version control, etc.

Data Engineering (incl. Data Management)

• Design and help build a modern data platform with a robust data governance framework.
• Incorporate best practices of managing “big data” (i.e. high volume, high velocity, high variety).
• Establish and execute processes for data quality, metadata management, and data lifecycle management.
• Ensure adherence to relevant data privacy and regulatory requirements.

Leadership

• Serve as a trusted advisor to the business, providing insights and recommendations based on data.
• Advocate for data-driven decision‑making across Teraco.
• Drive a culture of innovation and continuous learning and teaching – both within the Data & Analytics team and within the broader Teraco business.
• Stay on top of emerging trends in data science, AI, and analytics.
• Mentor and develop team members and stakeholders, promoting professional growth and expertise.

Value

• Measure and communicate the business impact of data and analytics initiatives to stakeholders.
• Continuously optimise data and analytics processes for efficiency and effectiveness.