Data Scientist M-Pesa Africa Lead
7 days ago
At Vodafone, we're shaping the future of digital connectivity and innovation. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
Role Overview:- M-Pesa, is a pioneering fintech business and global market leader in mobile money. From starting as a convenient means by which the unbanked and underbanked can make digital payments, M-Pesa has now grown to offer >50 million active customers financial services, enterprise, merchant and retail solutions. We are proud of our work in enabling the digital economy in our markets, and in driving financial inclusion.
- The Commercial Team works with the M-Pesa leadership across our 7 OpCos to co-create the product strategy, drive thought leadership and new strategic partnerships, design new products and features, set commercial priorities with the engineering teams and support the product development lifecycle.
- Your responsibilities will include championing big data, analytics and machine learning to help build the next generation of M-Pesa services that are personalised, contextualised and smart. This could include work across the M-Pesa Africa product suite, including the consumer and merchant app experience, the financial services portfolio, international remittances and the business portal.
- Create Machine Learning and AI products that provide actionable business insight and drive personalisation for M-Pesa users.
- Develop predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions.
- Development of machine learning models for various areas of the business on the Big Data Platform.
- Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models.
- Machine Learning Model performance tracking and reporting.
- Uses data visualisation to engage audience in a compelling way, enabling effective storytelling.
- Work with lead data scientist to deliver key packages of work to meet the needs of business customers.
- Works in partnership with Big Data Engineering for data ingestion to support use cases.
- Works in partnership with Big Data Production Data Engineering for model automation and productionising.
- Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.
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