Data Innovation Engineering Specialist

About the role

The Data Innovation Engineering Specialist plays a central role in helping the client use advanced data analytics, machine learning (ML) and large language models (LLMs) to improve its core regulatory functions. The role sits in the financial services sector and is based in Birkirkara.

Key responsibilities

• Identify opportunities where AI, ML and LLMs can strengthen the client's regulatory and operational capabilities.
• Support the definition and prioritisation of AI use cases, feeding into the Authority's long-term AI roadmap and capability model.
• Build, test and refine prototypes showing the value and feasibility of AI-enabled process improvements.
• Ensure solutions deliver both efficiency and deeper analytical insight and decision support.
• Map the client's data tools, platforms and practices to find gaps and where ML/LLM can help.
• Engage colleagues from Business Units, Programme Management, IT and Data to align efforts and ensure successful implementation.
• Track AI/ML/LLM developments in global and European financial regulatory frameworks.
• Work with the Data Governance team on the Authority's future data architecture and governance model.

Required profile

• Minimum of 5 years' prior experience in a similar or related domain; 10 years of relevant experience is also considered.
• MQF Level 6 in Computer Science, Data Science, Artificial Intelligence, Engineering or a relevant field, certified by MQRIC or a comparable professional qualification; a master's degree is a plus.
• Ability to prioritise and work in a structured way, communicate with teams at all levels, stay curious and resilient in a fast-changing environment.

Required skills

• Experience applying machine learning and/or LLMs in practice.
• Familiarity with tools such as Python, scikit-learn, Hugging Face, TensorFlow or PyTorch.