Causal Foundry is looking for an experienced, Senior Data Scientist with PhD to join our team in Barcelona. Your role will be to deeply analyse partner data, identifying and designing effective solutions, analyzing their impact, while maintaining seamless collaboration with other teams at CF such as Engineering and Partnerships. This role demands a keen focus on both the technical and impact aspects of data science, driving excellence in our product delivery and partnership management.

Causal Foundry (CF) builds AI products to solve operational challenges across diverse use cases including integral health, supply chain, industry and education. CF’s AI Platform, Kenkai, allows existing digital applications to use advanced personalization technology typically reserved for prominent industry actors. The platform ingests data from digital tools through domain-specific SDK and implements algorithms for predictions and adaptive interventions. The latter uses various models of linear and contextual bandits, restless bandits for resource allocation, and networked restless bandits for budgeted interventions in communities. Take ownership of the Rwanda data science workstream, helping drive analytical, product and operational decisions with RSSB, RMS, RBC, MOH or other related stakeholders.
Design experiments and causal analyses that tell us not only what happened, but what genuinely worked, for whom and why.
Make sense of complex, imperfect and longitudinal data without losing sight of bias, uncertainty, ethics or operational reality.
Work shoulder-to-shoulder with ML engineers, data engineers, product specialists and domain experts to move strong ideas into production.
Tell a compelling, precise story with data, whether the audience is a technical peer, a product team or a public-sector decision-maker, raising the bar through mentorship and thoughtful technical leadership.




Collaborate with partners (and with the end users of their technology whenever possible) to gain a deep understanding of their business and needs, summarize & communicate internal analyses to partners (travel required).
Become an active user of Causal Foundry’s Platform and other CF technologies, and provide feedback to the Engineering team as necessary on functionalities, data quality and completeness, and overall user experience.
Support the development of externally facing materials such as scientific papers, marketing materials, and grant applications, providing the necessary technical expertise (writing and reviewing the technical components).

PhD in statistics, physics, computer science, mathematics, economics, or a closely related quantitative field.
Substantial post-PhD experience using data science to influence real decisions—not only publishing research or building prototypes.
Hands-on experience with agentic workflows and AI coding tools such as Claude Code, Codex, or Cursor, using them effectively for analysis, prototyping, and development.
Deeply fluent in statistical modelling, machine learning, experimental design and causal inference, and you know how to evaluate models honestly.
Able to write advanced Python and SQL and care about reproducibility, testing, version control and code that other people can trust.
Comfortable with messy, high-stakes data and can balance methodological rigour with the need to deliver.
We would be especially excited if you bring experience in: global health, healthcare delivery, low- and middle-income country settings, supply chains or mission-critical social systems.
Expertise in reinforcement learning or contextual bandits, time-series forecasting, survival analysis, Bayesian methods, optimization, recommender systems, NLP, and deep learning will also be highly valuable.
Explore advanced methods, then see them tested, deployed and measured in the world.

📌 Data Science Data Science Data Modeler (Remote) (Barcelona)
🏢 Causal Foundry
📍 Barcelona