Associate Data Scientist in Madrid

You will learn from colleagues with a range of technical and subject expertise while contributing to complex, varied projects. We will support your career development through ongoing training, feedback and opportunities to deepen both your data science and consulting skills. As your experience grows, you will take on more responsibility in shaping and delivering solutions.

Right to Work, Location & Sponsorship
We welcome applications from candidates based anywhere in the world. For roles located in the UK, Belgium, Spain, or Germany, applicants must:

• Hold the right to work in the country where the role is based, or be eligible for visa sponsorship, which we may consider on a case-by-case basis, and
• Be physically present in that country by their first day of employment (or able to relocate beforehand).

Unless stated otherwise, relocation support is not automatically provided.

ICF supports governments and organisations on challenges in areas such as energy, the environment, aviation, health and public policy. Our data science team works with subject matter experts to turn evidence and data into practical solutions for clients in the UK and EU.

You will join an established team and contribute to data science and AI work across varied client projects. Working with more experienced colleagues, you will prepare data, test analytical approaches, help develop prototypes and communicate what the results mean. You will gain exposure to the consulting process, learning how to turn complex client questions into practical analyses and communicate findings to a range of audiences.

• Work with data scientists and subject matter experts to understand project questions, available data and appropriate outputs.
• Clean, combine and explore datasets, write clear Python and document your assumptions and checks.
• Build and compare straightforward statistical or machine learning models, use suitable baselines and help evaluate accuracy, limitations and potential bias.
• Contribute to prototypes using methods suited to the problem, including language models where appropriate, and test outputs carefully before sharing them.
• Prepare charts, concise written findings and presentation material, explain your work to colleagues and, with support, to clients and subject matter experts.
• Use feedback and code review to improve your work, and contribute to reproducible project files and team knowledge sharing.