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Associate Data Scientist

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

Work authorization
Must already have the right to workRight to Work, Location & Sponsorship

What you’ll work on

Full posting
  • Clean, 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 qualifications

Core 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.
Apply at Icf International

Posting record

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Status in our records
Live
First seen by us
Oct 19, 202616 days ago
Recorded sightings
43
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 16

Similar jobs usually come down between day 7 and day 56.

At Icf International, jobs usually come down by about day 17.

From 10,204 similar postings that came down, and 39 of Icf International’s. Coming down is not always a hire.

Icf International is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
Where the posting names them
- 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.

Your next step

Complete your application on icf.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Icf International posted this job before?

Yes. We’ve followed one other Associate Data Scientist job there since October 2026. It is still up.

  1. LondonStill up after 23 days, first seen Oct 13
  2. This jobUp 17 days so far, first seen Oct 19

About Icf International

People
About 8,400 in 2025, down 10% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ICFI.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

 

#LI-CC1 #Indeed


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.

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. 

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. 


 

Madrid, Spain (ES01)
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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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