Data Scientist

21 октября 2026 г.

Офис

Junior

Barcelona, Spain

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Описание

Causal Foundry is hiring a PhD graduate for its data science team in Barcelona, and the role is on-site. The work is hands-on: analysing complex longitudinal datasets, building and validating models, designing experiments and applying causal inference so that partners can make better decisions. The team develops the Kenkai AI platform for global health, supply chains, industry and education, and projects may involve public-sector and health partners in Rwanda. Some partner collaboration may require travel.

Обязанности

Explore, clean and analyse complex longitudinal datasets to assess data quality and identify useful insights
Translate product, health and operational questions into well-defined analytical, predictive or causal problems
Build and validate models for forecasting, risk stratification, personalisation, resource allocation and decision support
Design and analyse experiments and apply causal inference to understand what works, for whom and under which conditions
Evaluate results accounting for uncertainty, bias, missing data and the limitations of available evidence
Develop reproducible analyses and clearly documented code in Python and SQL
Collaborate with ML engineers, data engineers and domain experts to turn findings and models into practical solutions
Communicate methods, findings and limitations clearly to technical colleagues and partner teams
Use Causal Foundry products and improve their analytical capabilities, data quality and usability through feedback to Engineering
Contribute analyses and technical writing to scientific papers and other research outputs
Work with public-sector and health partners in Rwanda, including some travel for partner collaboration

Требования

PhD in statistics, computer science, mathematics, physics or a closely related quantitative field
Strong foundation in statistical modelling and machine learning with depth in one or more relevant methods
Experience applying quantitative methods to data through PhD research or other academic projects
Strong Python skills and the ability to work with data using SQL
Experience using AI agents and coding tools such as Claude Code, Codex or Cursor for exploration, modelling and research, with careful validation of generated code and results
Understanding of sound model evaluation, experimental design and the principles of causal inference
Care for reproducibility, clear documentation and version control
Ability to work through ambiguous questions, explain methodological choices and recognise the limitations of an analysis
Curiosity, initiative and a collaborative approach to solving problems
Experience with contextual bandits or reinforcement learning, time-series forecasting, survival analysis, Bayesian methods, optimisation or recommender systems
Publications, open-source contributions or other examples of rigorous, reproducible research

Условия

Full-time on-site work in the Barcelona office
Fixed working hours from 10 am to 7 pm
Some partner collaboration may involve travel
No professional experience beyond a PhD is required for the role

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