Manager: Data Science Full Time NEW

Manager: Data Science – CredTech

CredTech is a 100% owned subsidiary of MTN Group FinTech. CredTech aims to emerge as Africa’s largest digital lending platform with operational and commercial excellence serving as its foundational pillars for achieving unprecedented success. CredTech strives to deliver technology and credit scoring services by establishing comprehensive tech and product capabilities, enhancing credit scoring, accelerating time to market, and improving debt and risk management through strategic partnerships.

We at CredTech 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 – CredTech, you will be responsible for.:

• Hands-on design, development, deployment and optimisation of machine learning models, workflows and analytical systems supporting CredTech products and services.
• Developing production-ready models and machine learning workflows across credit risk, behavioural scoring, decisioning, portfolio optimisation and operational analytics. The role will support scalable MLOps practices, data pipelines, model monitoring, API-based deployment and the controlled use of AI-enabled tooling.

The incumbent will work within a hybrid technology environment that includes Azure-based tooling, including Azure AI Foundry where relevant, and partner environments that are Linux-based and Python-centric. The role requires strong technical execution in Python, SQL, machine learning libraries, data engineering patterns and production deployment practices.

The incumbent must have the following:

• Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science, Engineering, Financial, Commerce, Statistical or related field.
• Minimum 5 to 8 years of relevant work experience as a machine learning engineer, data scientist, decision scientist, MLOps engineer or analytics engineer.
• Minimum 2 to 3 years’ experience delivering applied machine learning, model deployment, data science workflows or MLOps capabilities.
• Hands-on experience with Python, SQL, Linux-based development environments and modern data science / machine learning libraries.
• Experience developing production code, APIs, batch processes, data pipelines or model inference workflows.
• Working knowledge of Git, CI/CD, Docker, Kubernetes, microservices and API-based deployment approaches.
• Experience working with cross-functional teams across product, data engineering, credit risk, operations, technology and market teams.
• English speaker; French, Chinese and African languages advantageous.

What will give an edge to your application:

• Master’s Degree in Computer Science, Data Science, Statistics, Financial, Commerce, Engineering or related field.
• AI/ML, cloud, MLOps, Azure or data science professional certification.
• Experience within fintech, banking, consumer finance, telecommunications, digital lending, payments or financial services.
• Experience developing and deploying credit risk models, behavioural models, affordability models, decisioning systems or portfolio analytics.
• Exposure to Azure-based AI/ML services, including Azure ML and/or Azure AI Foundry.
• Experience with MLOps tooling such as MLflow, Kubeflow, Azure ML, model registries, experiment tracking or monitoring frameworks.
• Working knowledge of Hadoop, Spark, PySpark or distributed computing frameworks.
• Exposure to reinforcement learning, optimisation, simulation or policy testing.
• Exposure to LLM-enabled tooling, agentic workflows, prompt engineering or AI-assisted development workflows.
• Experience working across multiple markets, cultures, vendors, partners and technology environments.

Position Location: Dubai, United Arab Emirates

Application Closing date: 22 June 2026. Late applications will not be accepted.

Should you not hear from us within 2 weeks of closing date, please consider your application unsuccessful.