Data Scientist III at FNB South Africa

Are you a data scientist who can:

• Take a hands-on approach to solving challenges, leveraging data-driven insights and innovative techniques.
• Research the RecSys literature and adapt what’s relevant into our world.
• Develop and optimize machine learning models for recommender systems.
• Utilize advanced techniques such as deep learning, and reinforcement learning to enhance recommendation accuracy and user experience.
• Set-up simulations and run AB-test experiments to ensure data-driven decision-making through experimentation.
• Drive projects independently, translating business problems into AI-powered solutions with measurable impact.
• Stay curious and adaptable, continuously learning and improving in a fast-paced, evolving field.
• Translate business requirements into effective AI models, ensuring they align with strategic goals and business impact.
• Build, test, and deploy RecSys models into MLOps pipelines that enhance decision-making, reduce risks, lower costs, and optimize efficiency.

We are looking for:

• Minimum qualification: Degree MSc in Data Science, Statistics, Computer Science, Data
• Engineering or a related discipline.
• Experience required: 5 years’ experience within data science or data engineering.

Hands-on experience with:

• Python for data science, machine learning, and model development.
• Writing complex SQL queries and working with large datasets using PySpark/SQL tools.
• Developing AI-powered workflows using relevant libraries and frameworks (e.g. TensorFlow, PyTorch).
• Cloud platforms such as AWS / Azure / GCP.
• Natural Language Processing / embeddings / transformer models, to be applied in the context of Recommender Systems.
• Monitoring and visualizing model performance with MLflow or similar analytics platforms.
• A solid understanding of machine learning principles, including neural networks, model optimization, and deployment best practices.

You will have access to:

• Opportunities to network and collaborate.
• A challenging work environment.
• Opportunities to innovate
• In accordance with the National Credit Act (NCA), candidates applying for this role will require a credit record check. 

End Date: October 4, 2025