Teams at PPMI

Build and deploy AI solutions for public-policy research, including LLM applications, agentic workflows, data science methods, APIs, pipelines, and interfaces. Test architectures, evaluate reliability, support monitoring and data protection, validate results with researchers, and engage clients to define requirements and demonstrate solutions. The role offers increasing ownership, experimentation, coaching, and practical exposure to AI engineering, machine learning, cloud services, and research methods.

Build and deploy AI solutions for public policy research, including LLM applications, agentic workflows, APIs, pipelines, and interfaces. Evaluate architectures, test reliability, manage data protection and monitoring, and improve deployed tools. Collaborate with researchers and clients to define requirements, validate findings, demonstrate solutions, and support adoption. The role may also involve machine learning, data science, analytical workflows, and policy research.

Conduct quantitative research and data analysis for European public policy and EU Cohesion Policy projects. Responsibilities include cleaning, combining, validating, and analysing complex datasets; applying statistical and econometric methods; assessing programme performance and data quality; creating tables, charts, and visualisations; and translating findings into clear reports and policy recommendations for non-technical audiences.