Introduction

The Royal Government of Cambodia (RGC) began implementing the Public Financial Management Reform Program (PFMRP) in 2004 with the aim of improving Cambodia’s public financial management system to meet international practices. The reform has been executed in four stages and four phases, under the leadership of the Steering Committee for Public Financial Management Reform, chaired by His Excellency Dr. Aun Porn Moniroth, Deputy Prime Minister and Minister of Ministry of Economy and Finance. As part of this reform, the Financial Management Information System (FMIS) Project has been implemented by the FMIS Project Management Working Group under the vision and guidance of His Excellency Dr. Hean Sahib, Secretary of State of the Ministry of Economy and Finance and Chairman of the FMIS Project Management Working Group. The first phase of the project was launched in 2014 with the development of the Financial Management Information System (FMIS), a core system for recording all public financial transactions of ministries and institutions that receive budget allocations from the RGC.

FMIS has continuously expanded from Phase 1 to Phase 3 (2021–2025), extending its core functions to all ministries and institutions, provincial and municipal departments of economy and finance, all 25 Provincial-Municipal Treasuries, 25 Capital-Provincial Administrations, 44 District-Khan Administrations, and deployment of FMIS Portal V1 at the Commune-Sangkat level. In addition to expanding system coverage, the FMIS Project has strengthened its implementation through user capacity-building training plans, new full FMIS streamlining process adoption, user support, deployment of the Budget Mirror application, and enhanced system security capabilities. To achieve these goals, the FMIS Project requires the recruitment of qualified national consultants to carry out the tasks aligned with defined indicators. The recruitment process is funded by the RGC’s counterpart budget and is conducted in line with the project’s procurement framework and the Standard Operating Procedures (SOPs) applicable to development partner-financed projects of the Royal Government of Cambodia.

• Develop Artificial Intelligence (AI) and Machine Learning (ML) solutions to address complex business challenges.
• Build and enhance data analytics models capable of forecasting trends and performing predictive analysis.
• Clean, organize, and streamline data repositories to support analytics and model development.
• Develop and implement automated systems using AI/ML technologies.
• Design and implement Natural Language Processing (NLP) solutions for text analysis and applications.
• Build and deploy behavioral and process analytics models to track user patterns and behaviors.
• Analyze software usage results and develop strategies to improve system efficiency.
• Create dashboards and reports to present data in an intuitive, visual format.
• Collaborate with functional analysts to understand requirements and define appropriate solutions.
• Work with other developers to integrate AI technologies and data analytics solutions into applications.
• Monitor and evaluate emerging AI/ML technologies for potential application in financial systems.
• Solve problems using data analytics and appropriate AI technologies.
• Participate in preparing technical documentation and user requirement specifications.
• Provide training and support to other staff in using data tools and AI systems.
• Perform other tasks as assigned by management.

• Must have a Bachelor’s degree or higher in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, Mathematics, or related fields.
• Minimum of 2 years of relevant experience in data science, AI, or ML.
• Advanced programming skills in data science languages such as Python and R, with experience using relevant libraries.
• Deep knowledge and hands-on experience with AI/ML frameworks, e.g., TensorFlow, PyTorch, or Keras.
• Proficient in SQL and database management systems (SQL and NoSQL) for data extraction and preparation.
• Strong understanding of statistical methods and the ability to apply analytical techniques to data.
• Experience building, evaluating, and deploying machine learning models and predictive analytics.
• Knowledge of common data analytics techniques, including classification, clustering, forecasting, and deep learning.
• Hands-on experience with analytics and data visualization tools such as Tableau or Power BI.
• Familiarity with AI solution design and implementation processes.
• Ability to manage multiple projects simultaneously and prioritize effectively.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to translate complex technical concepts into clear explanations.
• Creative, proactive, and motivated to learn emerging technologies.
• Knowledge of data security and ethical practices in AI applications.
• Commitment to continuous professional development and capacity improvement.