Senior Data Scientist M-Pesa Africa

Select how often (in days) to receive an alert:

At Vodacom, we're working hard to build a better future.

A more connected, inclusive and sustainable world.

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 Purpose: 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.

Your responsibilities will include:

1. Create Machine Learning and AI products that provide actionable business insight and drive personalisation for M-Pesa users.
2. Develop predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions.
3. Development of machine learning models for various areas of the business on the Big Data Platform.
4. Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models.
5. Machine Learning Model performance tracking and reporting.
6. Use data visualisation to engage audiences in a compelling way, enabling effective storytelling.
7. Work with lead data scientist to deliver key packages of work to meet the needs of business customers.
8. Work in partnership with Big Data Engineering for data ingestion to support use cases.
9. Work in partnership with Big Data Production Data Engineering for model automation and productionising.
10. Contribute to the wider community to enable Machine Learning and AI capability across Vodafone globally.

The ideal candidate for this role will have:

1. Bachelor's or master's Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential).
2. 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).
3. Familiarity with visualisation tools (e.g. Tableau, Qlik, D3).
4. Experience in data manipulation: use of structured data tools (e.g., SQL), and platforms (e.g., Hadoop, Spark, NoSQL).
5. Proficiency in at least one relevant programming language: Python, R.
6. 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).

Core competencies, knowledge and experience:

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

Closing date for Applications: 25 February. The base location for this role is Vodacom Midrand 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 organisational culture that recognises, appreciates, and values diversity & inclusion.

Commitment from Vodacom: Vodacom is committed to attracting, developing, and retaining the very best people by offering a flexible, motivating, and inclusive workplace in which talent is truly recognized, developed, and rewarded.

We believe that diversity plays an important role in the success of our business and we are committed to creating an inclusive work environment that respects, values, celebrates, and makes the most of people's individual differences - we are not only multinational but multicultural too.

At Vodacom you will have access to our excellent flexible benefits programme that you would expect from any global company.