Manager: Data Science
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Key skills for this role
About the Role
CredTech, a subsidiary of MTN Group FinTech, seeks a Manager: Data Science to lead hands-on design, development, and deployment of machine learning models for credit risk, behavioural scoring, and portfolio optimization.
Key Skills for This Role
Responsibilities
- 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
- Support scalable MLOps practices, data pipelines, model monitoring, API based deployment and the controlled use of AI enabled tooling
- 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
- Deliver strong technical execution in Python, SQL, machine learning libraries, data engineering patterns and production deployment practices
Requirements
- Minimum 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
Full Job Posting
Company Overview
- CredTech is a 100% owned subsidiary of MTN Group FinTech, aiming to become Africa's largest digital lending platform.
- CredTech delivers technology and credit scoring services, enhancing credit scoring, accelerating time to market, and improving debt and risk management.
Key Responsibilities
- 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.
- Support scalable MLOps practices, data pipelines, model monitoring, API based deployment and the controlled use of AI enabled tooling.
- 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.
- Deliver strong technical execution in Python, SQL, machine learning libraries, data engineering patterns and production deployment practices.
Must Have Qualifications
- Minimum 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.
Preferred Qualifications
- 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.
Additional Information
- 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.
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