Senior Advisor Data Science at Eskom Communications

Introduction

• Position: Snr Advisor Data Science Task Grade: G16 Area of specialization: To design artificial intelligence (AI), machine learning (ML) and deep learning (DL) solutions for the division by leveraging advanced data analytics to improve business outcomes while deriving value for business. Department: Market Operator Business Unit: Energy Market Services Location: Simmerpan - Germiston, Gauteng

Job description
Skills and Competencies Required
Behavioural:

• Honesty
• Integrity
• Professionalism
• Ethics
• Curious

Leadership:

• Critical thinking
• Sound business and people management acumen
• Stakeholder management
• Manage vision and purpose
• Teamwork

Knowledge:

• System, Applications and Products (SAP) Material Requester (MR1)
• Computer programming languages (Python, Java)
• Understand and demonstrate agile development life cycles
• Data sciences specialist topics of artificial intelligence, machine learning and deep learning
• Databases and foundation models
• Various software extensions, principles and standards
• Data modelling and evaluation
• Natural language processing
• Adobe Creative Suite
• Microsoft Suite
• Signal processing techniques
• Project management
• Reinforcement learning

Skill

• Audio and video processing
• Neural network architecture
• Mechanical thinking
• Collaborative
• Think creatively and innovatively.
• Problem solving and decision-making
• Communication
• Analytical, mathematical, and creative problem-solving

Key Responsibilities

• Architect, design, develop and deploy AI/ML/DL solutions.
• Build, maintain and improve analytic models, reporting solutions and decision systems.
• Innovate and design new machines to learn prototypes and solutions.
• Manage the data science portfolio and the advanced analytics roadmap.
• Research, upskill and stay abreast of new developments.

Minimum Requirements
Qualification(s):    

• B Degree/BTech in Computer Science/Mathematics/Statistics/Physics/Engineering/Actuarial Science at  NQF7 with 360 credits

Experience

• Related 5 years’ experience in Data science and analytics including artificial intelligence (AI), machine learning (ML), deep learning (DL)

Deadline:22nd April,2026