Icf

Icf

Senior Data Scientist

Company

Icf

Role

Senior Data Scientist

Location

Spain

Job type

Full time

Posted

3 days ago

Salary

Not disclosed by employer

Job description

Job Description

Senior Data Scientist – Impact Evaluation & Behavioural Insight 

ICF works on the key challenges of our time, supporting governments and public sector organisations in the design, appraisal, delivery, and evaluation of policies and programmes across a wide range of areas, including migration, security, technology, health, food, and the environment. 

Our Data Science Team works in partnership with experts across the business, applying data science methods to realworld public policy and evaluation challenges. The team delivers applied data science across client projects, while also developing new approaches that combine quantitative analysis, methodological rigour, and the responsible use of emerging technologies such as generative AI. 

We are looking for a Senior Data Scientist to contribute to the growth and success of the team through strong applied data science delivery, while also helping to build a developing area of work at the intersection of data science, impact evaluation, behavioural insight, and AIenabled quantitative analysis. The role will involve working with complex, realworld data; contributing to statistical and causal analysis; and supporting the development and testing of AIsupported analytic workflows that reflect good evaluation practice. 

You will typically work on several projects at a time, collaborating with policy researchers, evaluators, and technical colleagues across the organisation. The role includes contributing to analytical outputs, drafting sections of reports and proposals, and presenting findings to clients and stakeholders. We are particularly interested in candidates with experience in applied analysis who are motivated by using data science to answer complex policy questions. 

We offer a flexible, hybrid working model.

 

Skills, Knowledge and Experience  

We welcome applications from candidates with: 

  • A strong quantitative background in data science, statistics, economics, behavioural science, psychology, or a related social science. 

  • Professional experience applying data science or quantitative analysis in realworld delivery contexts, such as policy analysis, impact evaluation, consulting, or applied research. 

  • Strong applied data science capability, including: 

  • working with messy, realworld datasets, 

  • exploratory data analysis and feature construction, 

  • statistical modelling and inference, 

  • and development of reproducible analytical workflows. 

  • Proficiency in Python for data analysis. 

  • Experience contributing to, or working closely with, impact evaluations or applied causal analysis, with an understanding of counterfactual reasoning and common threats to validity – including: 

  • experience with quasiexperimental or causal methods such as differenceindifferences, regressionbased designs, matching, or related approaches; and  

  • applied experience drawing on behavioural or social science to inform evaluation design, analysis, or interpretation. 

  • Ability to critically assess analytical outputs - including results produced by automated or AIassisted approaches - and to explain their strengths, limitations, and assumptions clearly. 

  • Strong written and verbal communication skills, including the ability to communicate technical and methodological concepts to nontechnical audiences. 

Desirable (but not essential) 

  • Experience contributing to the development, testing, or use of AIenabled analytic tools or workflows, including decisionsupport or semiautomated analysis. 

  • Experience working in consulting, government, or public sector research environments. 

  • Experience contributing to technical sections of reports or proposals for clients. 

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. 

 

More about ICF 

ICF is a global consulting services company with over 9,000 full- and part-time employees, but we are not your typical consultants. We believe in collaboration, mutual respect, open communication, and opportunity for growth. 

We give active support to career progression We are committed to learning and personal development - providing in-house training programmes, access to our communities of practice and online learning resources.  

We provide a supportive, collegiate work environment. Our ‘You Matter’ programme enables recognition of colleague’s contributions, support and success. 

 

Interested? 

Please submit a CV and cover letter HERE to start the conversation!  

#Indeed

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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