Manager: Data Science

Context

Fintech is entering a new phase where operational and commercial excellence has become critical for success. We at MTN believe this is a game changer in terms of our business strategy. We are looking at an incumbent to join us as we build a successful business together.

As part of your portfolio as
Manager: Data Science,
you will be:

• The Manager: Data Science will support the Senior Manager: Decision in all aspects of decision making, through the use of data, insights, analytics and Data Science for Group Fintech.
• Through effective collaboration with teams across Africa and Middle East you will be expected to respond to business problems by developing and deploying Analytical and Machine learning solutions, given your position as the subject matter expert in Data Science and Advanced Analytics.

Strategy Development and Implementation

• Provide insights, recommendations and prescriptive analysis to business stakeholders after being involved in intensive descriptive and predictive analysis by leveraging a variety of machine learning tools and statistical techniques, to produce solutions to business problems.
• Deliver analytical insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.

Operational Delivery

Data Mart Development and Maintenance:

• Design and maintain data marts to support analytics, reporting, and mathematical algorithms.
• Extract, transform, and load (ETL) data from various sources into structured formats suitable for analysis.
• Ensure data integrity, accuracy.

Data Science Capabilities:

• Stay abreast of the latest industry standards for Data Science tools & technologies.
• Translate identified business problems into data related or mathematical solutions. Identify what methods (e.g., analytics, big data analytics, or automation) will solve the problem.
• Analyse business problems with one's discipline and question assumptions to help the business identify root cause.
• Make use of statistical methods, mathematical algorithms and tools & technology to "slice and dice" data and provide meaningful results to the business.
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports as required.
• Machine Learning Operations Pipeline deployment

Data Governance and Quality Assurance:

• Implement data quality checks and validation processes to ensure high-quality datasets for analysis.
• Collaborate with IT and data governance teams to maintain compliance with data privacy and security standards.

Reporting and Visualization:

• Extract meaning from and interpret large sets of structured and unstructured data to deliver high quality reporting frameworks for business consumption.
• Develop interactive dashboards and reports to provide actionable insights to stakeholders at all levels of the organization.
• Collaborate with cross-functional teams to understand reporting requirements and deliver insights that drive informed decision-making.

Automation and Optimization:

• Ensure all data workflows and reporting processes are automated to improve efficiency.
• Optimize existing data pipelines and analytics processes to enhance performance and scalability.

The "Must-haves" we look for in an incumbent

Education:

• Bachelor's degree in Mathematics, Computer Science, Statistics, Data Science, Business Analytics, Actuarial Science, Business Mathematics, Informatics, Engineering or related.
• Evidence of participation in Machine learning competitions (Description of the problem and solution strategy).

Experience:

• Proven experience (5+ years) in Advanced Data & Analytics and Data Science.
• Big Data On-premise and Cloud Data Pipeline (M. Fabric) deployment
• Machine Learning Operations Pipeline deployment
• Web Open-Source Interface development
• API Development and Deployment
• Strong technical skills in data manipulation, analysis, and visualization tools such as SQL, Python, R, Tableau, or Power BI.
• Knowledge of database systems (e.g., Oracle, Teradata, or Snowflake) and cloud data platforms (e.g., AWS, Azure, or GCP).
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into actionable insights for non-technical audiences.
• Experience in the telecommunications/ Financial Services or Fintech Companies or related fields is a plus.
• Advanced analytical skills with the ability to translate data into actionable insights and strategic recommendations.
• Excellent project management skills with the ability to prioritize tasks, meet deadlines, and manage multiple initiatives simultaneously.
• Strong leadership and interpersonal skills .
• Demonstrated ability to collaborate effectively with cross-functional teams and external partners to achieve business objectives.
• Excellent written and verbal communication skills . Understanding emerging markets
• At least 3 years' experience within a non-traditional FinTech or Consumer Marketing environment
• Experience at the management level in the financial sector
• Willing and flexible to travel within Africa and Middle East
• English speaker. French language being an added advantage.

What will give an edge to your application

Functional Knowledge:

• Data science: statistics, data mining, modelling, and advanced analytics
• Big Data On- premise and Cloud Data Pipeline (M. Fabric) deployment
• Machine Learning Operations Pipeline deployment
• Web Open-Source Interface development
• API Development and Deployment
• Data Mart Development & Maintenance
• Clustering & Modelisation
• Data Visualization with meaningful insights

Closing date: 29 November 2025. Late applications will not be accepted.

Should you not hear from us within two weeks of the closing date, consider your application unsuccessful.

Ready to make and drive the change with us. Apply now