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