Ph3Senior Data Scientist – Impact Evaluation Behavioural Insight /h3 pICF 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. /p pOur Data Science Team works in partnership with experts across the business, applying data science methods to real‑world 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. /p pWe 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 AI‑enabled quantitative analysis. The role will involve working with complex, real‑world data; contributing to statistical and causal analysis; and supporting the development and testing of AI‑supported analytic workflows that reflect good evaluation practice. /p pYou 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. /p pWe offer a flexible, hybrid working model, allowing you to balance working from home with use of our Brussels office. /p h3Skills, Knowledge And Experience /h3 ul liA strong quantitative background in data science, statistics, economics, behavioural science, psychology, or a related social science. /li liProfessional experience applying data science or quantitative analysis in real‑world delivery contexts, such as policy analysis, impact evaluation, consulting, or applied research. /li liStrong applied data science capability, including: ul liworking with messy, real‑world datasets, /li liexploratory data analysis and feature construction, /li listatistical modelling and inference, /li liand development of reproducible analytical workflows. /li /ul /li liProficiency in Python for data analysis. /li liExperience contributing to, or working closely with, impact evaluations or applied causal analysis, with an understanding of counterfactual reasoning and common threats to validity – including: ul liexperience with quasiexperimental or causal methods such as difference‑in‑differences, regression‑based designs, matching, or related approaches; and /li liapplied experience drawing on behavioural or social science to inform evaluation design, analysis, or interpretation. /li /ul /li liAbility to critically assess analytical outputs – including results produced by automated or AI‑assisted approaches – and to explain their strengths, limitations, and assumptions clearly. /li liStrong written and verbal communication skills, including the ability to communicate technical and methodological concepts to non‑technical audiences. /li /ul h3Desirable (but Not Essential) /h3 ul liExperience contributing to the development, testing, or use of AI‑enabled analytic tools or workflows, including decision‑support or semi‑automated analysis. /li liExperience working in consulting, government, or public sector research environments. /li liExperience contributing to technical sections of reports or proposals for clients. /li /ul h3Right to Work, Location Sponsorship /h3 h3Role /h3 pWe welcome applications from candidates based anywhere in the world. For roles located in bUK, Belgium, Spain, or Germany /b, applicants must: /pul liHold 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 /li liBe physically present in that country by their first day of employment (or able to relocate beforehand). /li /ul pUnless stated otherwise, relocation support is not automatically provided. /p h3More About ICF /h3 pICF 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. /p pWe 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. /p pWe provide a supportive, collegiate work environment. Our “You Matter” programme enables recognition of colleague’s contributions, support and success. /p h3Interested? /h3 pPlease submit a CV and cover letter a HERE /a to start the conversation! #Indeed /p h3Working at ICF /h3 pICF 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. /p h3Candidate AI Usage Policy /h3 pAt 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. /p pHowever, 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. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. /p pBrussels, Belgium (BE75) /p /p #J-18808-Ljbffr