Descriptions
SUMMARY
OVERVIEW
Join Us Role purpose: The Big Data & Special CVM Projects Specialist is responsible for leveraging advanced analytics, machine learning, and customer intelligence to drive sustainable customer and revenue growth across the M Pesa business. The role develops and operationalizes data-driven CVM strategies that improve customer acquisition, engagement, retention, product penetration, and customer lifetime value. The role is accountable for: • 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, [...]
REQUIREMENTS
- .
- Key accountabilities and decision ownership: • Causal Inference, Transformer Based Modelling, Classical ML Modelling its Lifecycle.
- • ETL, Feature Engineering Alternatives & Embedding Infrastructure – AI Product Lifecycle Strategy • Explainable AI (XAI) & Model Governance • E2E go to market execution for big data and special projects propositions.
- • Identify Analyze and Interpret trends or patterns in complex data sets.
- Core competencies, knowledge and experience: • Excellent analytical, logical and casual reasoning skills.
- • Strong stakeholder management skills • Ability to anticipate customer, competitor and market dynamics • Able to challenge the status quo Must have technical/professional
QUALIFICATIONS
- : • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Actuarial Science, Artificial Intelligence, or a related quantitative discipline.
- • Master’s Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics, or MBA (preferred).
- • Minimum 5–7 years’ experience in Big Data Analytics, Data Science, Customer Analytics, CVM, Machine Learning, or Commercial Analytics.
- • Advanced proficiency in SQL and data querying tools.
- • Experience using Python, Spark, Databricks, or equivalent analytics tools.
- • Experience working with Big Data platforms, cloud analytics environments, and machine learning frameworks.
- • Strong understanding of Fintech ecosystems.
- • Experience developing and deploying predictive models in a production environment.
- Who we are We are a leading international Telco, serving millions of customers.
- At Vodafone, we believe that connectivity is a force for good.
QUALIFICATIONS
- and application
REQUIREMENTS
- carefully.
- When you are ready, click the button below to apply through the employer’s official recruitment website.
- Follow the instructions provided and ensure your application and supporting documents are complete before submission.
- CLICK HERE TO APPLY
HOW TO APPLY
Use the application link below to open the official application form.
