We welcome talented recent graduates and early-career applicants. You do not need to arrive with expertise in every area; we are looking for strong foundations, curiosity and evidence that you learn quickly.
Relevant foundation: A degree in computer science, artificial intelligence, data science, statistics, computational social sciences, economics or a related field. Other backgrounds and equivalent practical experience are welcome when supported by relevant skills and projects.Evidence that you like to build: Experience creating and testing AI applications, ML models or analytical workflows through studies, personal projects, internships or professional work. We are interested in what you contributed, how you evaluated the result and what you improved.Programming skills: Working knowledge of Python and confidence learning or working with JavaScript/TypeScript. Familiarity with APIs, version control and structured development practices is valuable.AI curiosity and practical judgement: You follow relevant AI research, model releases and developer tools, test new approaches yourself, challenge assumptions constructively and use evidence to decide what is worth adopting, improving or stopping.Research mindset: Curiosity about research questions, data quality, evidence and the limitations of an analysis. An interest in public policy, social research or how governments make decisions is important.Communication and ownership: Full professional proficiency in English, strong written communication, and the ability to take ownership of well-scoped work while asking for guidance when needed.Experience with model APIs, RAG or GraphRAG, agent orchestration, MCP tool integrations, context or memory systems, structured outputs, evaluations or execution traces.Exposure to cloud services, deployment, permissions, monitoring or production AI workflows.Familiarity with policy evaluation, EU institutions or public-sector decision-making processes.GROW WITH US
Our AI team offers significant autonomy and dedicated time for experimentation, supported by training, coaching and feedback. We want you to explore methods, test tools, share what works and what does not, and become increasingly independent over time.
Meaningful impact: Apply your skills to evidence and tools that help governments and third-sector organisations address societal challenges and improve people’s lives.Training and coaching: Develop through practical experimentation and feedback across AI engineering, machine learning, data science, policy research methods, cloud services and project delivery.Room to experiment: Propose ideas, test approaches and learn from both successful and unsuccessful experiments.Salary: EUR 1,800 – 2,800 gross per month, depending on your qualifications and experience.Flexibility and wellbeing: We operate with no fixed office hours and offer remote-working options. For office-based employees, remote work is available for up to half of the time. Additional benefits include private employee health insurance*, extra days off and access to the Mindletic Emotional Intelligence Training App.For office-based employees.DON’T SELF-SELECT OUT
We do not expect candidates to meet every single requirement. We value complementary strengths and, especially at junior level, your trajectory matters: how you learn, respond to feedback and turn new understanding into better work. If you are strong in some of these areas and motivated to develop in others, we encourage you to apply.
HOW TO APPLY
Please submit your CV through our application system. Where relevant, include links to GitHub, a portfolio or projects that help us understand what you have built. We review applications based on relevant skills, experience, projects and motivation. Only shortlisted candidates will be contacted.
We value diversity and welcome applications from people with different backgrounds and experiences. If you require reasonable adjustments during the recruitment process, please let us know.
