M-Pesa Senior Data Scientist- Vodacom

M-Pesa Senior Data Scientist-Vodacom

Job Description

Role purpose:

M-Pesa, is a pioneering fintech business and global market leader in mobile money. From starting in 2007 as a convenient means by which the unbanked and underbanked can make digital payments, M-Pesa has now grown to offer >55 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.

Your responsibilities will include:

Create Machine Learning and AI products that provide actionable business insight and drive personalisation for M-Pesa users.
Developing 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 using e.g. Qlik
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.

The ideal candidate for this role will have:

Must have technical/professional qualifications: 

Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and  machine learning modelling expertise)
Experience in data manipulation: use of structured data tools (e.g., SQL), and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in at least one relevant programming language: Python, R
Experience in working with cloud and cloud-related tools like delivering machine learning projects.

 

Core competencies, knowledge and experience:
A minimum of 5 years relevant experience in Data Science.
Experiencing working with and managing a team of junior data scientists.
Exposure/interest in machine learning
Experience manipulating and analysing large and complex datasets
Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
Good interpersonal communication and presentation skills
Ability to work in a fast-paced environment
Analytical and expansive thinking with a strong desire to deliver and develop

 

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