M-Pesa Africa Senior Data Scientist at Safaricom Kenya

Job Description

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.

Responsibilities

• 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
• 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.

Qualifications

• 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 analyzing large and complex datasets 
• 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 analyzing large and complex datasets  
• Experience in visualization, 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

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)
• Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
• 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 major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)