M-pesa: Senior Data Scientist

7 days ago

Midrand, South Africa Vodafone Full time

**Role Purpose**:
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

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)

The base location for this role is Midrand, Vodacom Campus
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organizational culture that recognizes, appreciates and values diversity & inclusion.

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