Associate Data Scientist
Madrid, Spain (ES01)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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:
Read the full posting
What you’ll work on
Full postingClean, combine and explore datasets, writing clear Python and documenting checks
Build and compare simple statistical or machine learning models against baselines
Contribute to prototypes, including language models where appropriate
Prepare charts, written findings and presentation material for colleagues and clients
From the employer’s posting
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
Contribute to prototypes using methods suited to the problem, including language models where appropriate
Prepare charts, concise written findings and presentation material
What you’ll bring
All qualificationsCore experience
- Hands-on data science experience from a project, research, internship or work
- Python experience from work, internship, research or substantial projects
- Grounding in statistics and common machine learning methods such as regression or classification
- Care with data quality, documentation and reproducible code
- Relevant degree or equivalent practical experience in a quantitative or social science field
Qualification wording
Hands-on experience applying data science through a project, research, internship or commercial work.
Experience using Python gained through employment, an internship, research or substantial personal or academic projects.
A grounding in statistics and common machine learning methods, such as regression or classification
Care with data quality, documentation and clear, reproducible code
A relevant degree or equivalent practical experience in a quantitative or social science field.
Tools in this posting
- Python
Source — Tool mentions in context
- 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.
- Hands-on experience applying data science through a project, research, internship or commercial work. - Experience using Python gained through employment, an internship, research or substantial personal or academic projects. - A grounding in statistics and common machine learning methods, such as regression or classification, and experience of training, testing and model evaluation.
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 10 days ago
- Recorded sightings
- 37
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on icf.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
The opportunity
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.
What you will do
- 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.
What you will bring
- Hands-on experience applying data science through a project, research, internship or commercial work.
- Experience using Python gained through employment, an internship, research or substantial personal or academic projects.
- A grounding in statistics and common machine learning methods, such as regression or classification, and experience of training, testing and model evaluation.
- Care with data quality, documentation and clear, reproducible code, willingness to learn version control and collaborative development practices.
- Curiosity about real client problems, willingness to ask questions and ability to explain your thinking in clear written and spoken English.
- A relevant degree or equivalent practical experience in a quantitative or social science field.
Useful additional experience
- Exposure to public policy, government, research or evaluation.
- Hands-on exploration of large language models, including checking responses against source material, experience with AI agents is welcome but not required.
- Experience with Git, cloud services, data visualisation, collaborative projects or presenting technical work to a nontechnical audience.
What you can expect
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.
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Bot and Third-Party Applications
Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance.
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.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.
However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Madrid, Spain (ES01)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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).
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