Senior Data Scientist at ICF
London (GB80), United Kingdom, United Kingdom
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Apply data science methods to public policy and impact evaluation projects, focusing on robust, evidence-based analysis.
- Handle messy, real-world datasets: cleaning, exploratory analysis, feature construction and reproducible pipelines.
- Perform statistical modelling and causal inference (DiD, regression-based designs, matching) and assess threats to validity.
- Support development and validation of AI-assisted analytic workflows consistent with evaluation best practice.
- Contribute to reports and proposals and present findings to clients, stakeholders and technical peers.
- Collaborate with policy researchers, evaluators and technical teams across multiple projects.
Requirements:
- Strong quantitative background in data science, statistics, economics, behavioural science, psychology or related social science.
- Professional experience in applied quantitative analysis, policy evaluation, consulting or applied research.
- Proficiency in Python and experience building reproducible analytical workflows.
- Practical knowledge of causal inference and counterfactual reasoning; hands-on experience with quasiexperimental methods.
- Clear communication skills and experience presenting technical results to diverse audiences.
- Desirable: familiarity with generative AI, behavioural science methods and multi-site collaboration experience.