- Dar Es Salaam, United Republic of Tanzania
- 5–7 years
Leverage advanced analytics, machine learning, and customer intelligence to drive sustainable customer and revenue growth across the M Pesa business.
Responsibilities
- Co-creating and deploying advanced machine learning and artificial intelligence solutions that drive revenue growth, cost optimization, customer retention, and enhanced customer experience.
- Developing big data monetization propositions and managing their end-to-end execution to unlock commercial value from customer data and behavioral insights.
- Delivering actionable customer insights, predictive analytics, and segmentation strategies that support M-Pesa objectives, commercial targets, and business decision-making.
- Designing and optimizing personalized customer lifecycle campaigns, including acquisition, activation, retention, reactivation, cross-sell, and upsell initiatives.
- Driving customer value enhancement through time to action, causal inference, difference in difference propensity modelling, churn prediction and customer journey optimization initiatives.
Requirements
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Actuarial Science, or a related quantitative discipline.
- Master's Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics, or MBA (preferred).