Reports To: Senior Manager - Analytics Insight and Machine Learning

Division: Marketing

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)