Manager - Machine Learning at MTN Nigeria

Mission:

To lead and drive the development and implementation of machine learning solutions for the consumer business unit and play a crucial role in driving business value by leveraging customer data to personalize experiences, predict churn, and optimize marketing campaigns.

Description

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
• Develop and implement machine learning models for tasks such as churn prediction, customer segmentation, targeted marketing, fraud detection, and network optimization.
• Ensure the quality and fairness of machine learning models throughout the development and deployment lifecycle.
• Monitor and track the performance of machine learning models and measure their impact on business goals.
• Present findings and recommendations to senior management in a clear and concise manner.
• Stay up-to-date on the latest advancements in machine learning and share your knowledge with the team and broader organization.
• Ensure very deep market understanding: regular macro-economic review of trends and shifts that can affect the business and overall market demand.
• Interpret the customer base marketing strategy to identify, plan, and implement/build the analytical capabilities required to deliver the CVM base management strategy.
• Ensure timely base management reporting.
• Drive the ROI of base management activity by ensuring the provision and continuous improvement of actionable insights, analyses, CVM reports, and dashboards.

Education:

• First degree in Computer Science, Engineering, Statistics, Applied Mathematics, Economics, or a related discipline.
• Industry certification(s) and/or post-graduate or professional qualification(s) in a related field (an added advantage).
• Fluent in English

Experience:

6 - 13 years’ experience which includes:

• 4 years’ experience in the telecoms industry, with at least 2 years in a supervisory role.
• Expert understanding of programming languages such as SQL, Python, or R.
• Proven experience in developing and deploying machine learning models for real-world applications.
• Strong leadership skills with the ability to motivate and inspire a team.
• Strong understanding of statistical modeling, machine learning algorithms, and deep learning techniques.
• A track record of managing innovation, developing and applying creative solutions to business problems, anticipating situations and needs, and finding flexible answers to new situations.
• Experience in CVM methodology, principles, capabilities, and techniques.
• Excellent communication, collaboration, and presentation skills.
• Strong problem-solving and analytical skills.
• Experience with data pipelines and data preparation techniques.
• Expert knowledge of the competitive environment, consumer trends, and trade practices in the industry
• Experience in applying various quantitative techniques to address business problems.
• A self-starter who is self-motivated, disciplined, self-assured, performance driven and passionate about digital, AI, ML, and data and its role in transforming businesses.
• Experience reviewing code for analytics models and providing recommendations for performance improvement.
• Familiarity with cloud platforms (e.g., GCP, Azure)