Manager: Data Science

Manager: Data Science – CredTech

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