Data Innovation Engineering Specialist

The Data Innovation Engineering Specialist will play a central role in shaping how the client leverages advanced data analytics, machine learning (ML), and large language models (LLMs) to enhance the effectiveness and efficiency of its core regulatory functions.

• Identifying opportunities where AI, ML, and LLMs can significantly enhance client’s regulatory and operational capabilities.
• Supporting the definition and prioritisation of AI use cases, feeding into the Authority’s long-term AI roadmap and capability model.
• Building, testing, and refining prototypes that demonstrate the value and feasibility of AI-enabled improvements to client’s processes.
• Ensuring that solutions are designed not just for automation and efficiency, but also to deliver greater analytical depth and decision-making support.
• Helping map out client’s data tools, platforms, and practices to identify what’s working, what’s missing, and where ML/LLM technologies can help.
• Engaging with colleagues from Business Units, Programme Management, IT, and Data to align efforts and ensure successful implementation.
• Tracking developments in the use of AI/ML/LLMs within global and European financial regulatory frameworks.
• Collaborating with the Data Governance team to shape the Authority’s future data architecture and governance model, ensuring readiness for AI-driven innovation.

Requirements

As a Data Innovation Engineering Specialist you have

• Ability to prioritize and take a structured approach to getting things done.
• A strong communicator comfortable engaging with teams across all levels.
• Curious, analytical, and always looking for better ways to do things.
• Resilient and comfortable in a fast-changing environment.
• Experience applying machine learning and/or LLMs in practical settings.
• Familiarity with tools and frameworks such as Python, scikit-learn, Hugging Face, TensorFlow, PyTorch, or similar.
• Experience related to the financial industry is considered beneficial

You will also possess a minimum of five (5) years prior experience in a similar or related domain and an MQF Level 6 in Computer Science, Data Science, Artificial Intelligence, Engineering, or a relevant field duly certified by the Malta Qualifications Recognition Information Centre (MQRIC) or a widely recognised professional qualification at a comparable level. A master's in a similar discipline is a plus

If you do not have the necessary academic or professional qualifications but you have at least ten (10) years of relevant experience. we would still be interested in speaking with you.