Data Scientist II- JHB at FNB South Africa

Are you someone who: 

• Has designed, tested, and deployed end-to-end machine learning and Generative AI models using Python and Azure Functions. 
• Built classification models to optimise customer experience and interactions by enhancing resolution speed and customer satisfaction. 
• Able to apply Natural Language Processing (NLP) to automate quality assurance processes and assess whether queries were resolved effectively. 
• Evaluates model performance using appropriate metrics and continuously refining algorithms for accuracy and relevance. 
• Collaborates with cross-functional teams to integrate AI solutions into business processes and improve operational efficiency. 
• Prepares and analyzing data to support model development and business insights. 
• Creates dashboards, reports, and presentations to communicate findings to stakeholders. 
• Ensure compliance with privacy regulations and internal governance frameworks. 
• Mentors junior analysts and contributing to model governance and ethical data practices. 

We can be a match if you are: 

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to take action. Always being engaged. 
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this. 
• A team player – you believe in the power of teams, building and leveraging your networks. 
• Emotionally intelligent – you are able to connect with people to build trust. 

What we’re looking for: 

• Minimum qualification: A bachelors degree in Science, Mathematics and/or related field 
• Experience: A minimum of 4 – 5 years’ relevant experience in a Data science or similar role. 
• Proven experience deploying solutions in Microsoft Azure, including Azure Functions in Python. 
• Advanced proficiency in Python (TensorFlow, PyTorch, Pandas, NumPy). 
• Hands-on experience with Generative AI frameworks and AI agent development. 
• Strong Natural Language Processing (NLP) skills for classification, sentiment analysis, and conversational AI. 
• Strong level of proficiency in SQL is essential  
• Familiarity with MLOps and cloud-native deployment strategies. 
• Experience with Power Automate; Power BI is an advantage. 
• Ability to build scalable data pipelines and integrate AI into business processes.

End Date: October 30, 2025