About Company:
MTN Nigeria - The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.
Job Description:
- Design, develop, and deploy machine learning and AI-driven solutions that enhance network performance, customer experience, and service assurance.
- Provide network analytics and insights to MTNN’s Network functions and other Business functions for informed decision making.
Key Responsibilities
- Assist the CTO with the identification, conceptualization and championing of activities, projects and or assignments aimed at optimizing performance within Network division.
- Develop machine learning models for network monitoring
- Perform predictive analytics (fault detection, congestion forecasting)
- Promoting a data-driven culture within Network Group
- Contribute to MTN’s Autonomous Network roadmap
- Develop AI use cases including:
- Predictive fault detection
- Traffic forecasting
- Network anomaly detection
- Root Cause Analysis (AI-assisted)
- Build automated dashboards and alerting systems
- Integrate AI into NOC and performance workflows
- Maintain data models and pipelines (structured/unstructured data)
Requirements:
Education:
- First degree in any related discipline
- Possession of an MBA or Project Management certification will be an advantage
- Fluent in English
Experience:
3–7 years’ work experience, comprising:
- Minimum of 3 years’ experience in an area of specialization; with experience in supervising others
- 3+ years in data analytics or machine learning
- Telecom network experience (RAN/Core/Transport)
- Experience in:
- Python / SQL / Spark / Hadoop
- ML frameworks (TensorFlow, Scikit-learn, PyTorch)
- Exposure to OSS/BSS systems and telecom analytics platforms
Salary
Very attractiveApplication Closing Date: 23rd June, 2026
Application Instructions:
Click the button below to apply
Job Information
Deadline
23/06/2026
Job Type
Full-time
Industry
Data
Work Level
Experienced
City
Ikoyi
State
Lagos
Country
Nigeria