Data Scientist

ICF International; Madrid; A distancia; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

ICF is seeking a data scientist to work with subject matter experts and clients. You will define problems, prepare data, build and evaluate models, and present findings to diverse audiences. You’ll collaborate across disciplines to document work and turn prototypes into reliable solutions.

Required: strong Python, ML skills, and a quantitative degree; experience with large language models and data pipelines. Excellent English communication and independence are essential.

Formación

• Hands-on Python for analysis and modelling with ML libraries.
• Strong grounding in statistics and ML (regression, forecasting, validation).
• Familiarity with large language models in analysis and prototyping.
• Experience preparing imperfect data and writing maintainable code.
• Ability to take ambiguous questions to working demonstrations.
• Clear written and spoken English for technical audiences.

Responsabilidades

• Speak with experts and clients to define problems, success measures, and data needs.
• Prepare/analyze data, develop/evaluate models or prototypes using stats/ML.
• Present findings and uncertainties to technical and nontechnical audiences.
• Collaborate across disciplines to document work and make results reproducible.
• Contribute ideas and estimates to proposals and manage multiple projects.
• Share methods and reusable approaches with the data science team.

Conocimientos

Python

SQL

Statistics

Machine Learning

Language Models

Data Wrangling

Version Control

Testing

Communication

Independent Working

Educación

Quantitative degree

Herramientas

Cloud Platforms

APIs

Retrieval-based systems

Descripción del empleo

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.

What you will do

• Speak with subject matter experts and clients to define the problem, success measures, data needs and an appropriate analytical approach.
• Prepare and analyse data, develop and evaluate models or prototypes using statistical methods, forecasting, machine learning or language models where suitable.
• Present findings, assumptions and limitations to subject matter experts, clients and nontechnical audiences, invite challenge and adapt the work to their feedback.
• Collaborate with colleagues across different technical disciplines to document work, make results reproducible and develop promising prototypes into reliable solutions.
• Contribute technical ideas, estimates and evidence to proposals, and manage your work across several concurrent projects.
• Share methods and reusable approaches with colleagues across the data science team.

What you will bring

• Hands‑on experience in Python for analysis and modelling, including common data and machine learning libraries, ability to use SQL to extract, join and check data.
• Sound grounding in statistics and machine learning, including regression or classification, forecasting, validation, baseline comparisons and appropriate performance measures.
• Practical familiarity with using large language models in analysis or prototyping, including prompting, checking outputs against evidence and recognising privacy, accuracy and reliability risks.
• Experience preparing imperfect data, building reproducible analyses and writing maintainable code with version control and testing.
• Ability to take an ambiguous question from discovery to a working demonstration, explain assumptions and uncertainty, and judge whether a solution is worth developing for operational use.
• Confidence working independently and engaging stakeholders across teams, clear written and spoken English for technical and nontechnical audiences.
• A relevant degree or equivalent practical experience in a quantitative field.

Useful additional experience

• Experience working in public policy, government, research or evaluation
• Experience in consulting, public policy research or client-facing delivery, familiarity with cloud platforms, APIs, data pipelines or deployment.
• Experience building AI agents or applications that connect language models to data and tools, such as retrieval-based systems. We can train someone with strong core skills.

What you can expect

You will work alongside colleagues with a wide range of technical and subject expertise, tackle varied client challenges from discovery to delivery. We will support your career development with ongoing training and opportunities to deepen both your technical and consulting skills.

Right to Work, Location & Sponsorship

We welcome applications from candidates based anywhere in the world.

• 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.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting‑edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in‑person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process