Barcelona, on-site - 20 hours per week

Causal Foundry is looking for a curious and motivated Statistics Intern to join our Data Science team in Barcelona. You will help analyse complex datasets, evaluate the impact of AI-driven interventions and turn real-world questions into clear statistical analyses.

Working alongside data scientists, engineers, product specialists and domain experts, you will gain practical experience applying statistical methods to operational challenges in areas such as global health, supply chains, industry and education.

We welcome applications from Students enrolled in Universities in the Barcelona area.

The company

Causal Foundry (CF) builds AI products to solve operational challenges across diverse use cases, including integral health, supply chains, industry and education.

CF’s AI platform, Kenkai, enables existing digital applications to use advanced personalization technology typically reserved for prominent industry actors. The platform ingests data from digital tools through domain-specific SDKs and applies algorithms for prediction and adaptive intervention. CF continuously evolves its platform to deliver advanced AI methods and comprehensive services to its partners.

As a Statistics Intern, you will:

- Conduct descriptive and exploratory analyses to identify patterns, trends and data-quality issues.
- Apply appropriate statistical methods to answer product, health and operational questions.
- Help design and evaluate experiments, including defining metrics, analyzing results and communicating uncertainty.
- Support causal,



predictive and time-to-event analyses under the guidance of senior members of the Data Science team.
- Build reproducible analyses using Python, SQL or R, with clear documentation and version control.
- Create concise reports, visualizations and presentations for technical and non-technical audiences.

What we are looking for

- Currently completing a bachelor’s or master’s degree in statistics or mathematics.
- A sound foundation in probability, statistical inference, regression, and experimental design.
- Practical experience using Python or R for data analysis.
- Familiarity with SQL and version control is desirable.
- Ability to work with imperfect data, check assumptions and interpret results carefully.
- Clear written and verbal communication skills, including the ability to explain analytical findings to non-specialists.
- Intellectual curiosity, attention to detail and a willingness to learn.
- A collaborative approach and the confidence to ask questions, seek feedback and take ownership of assigned work.
- Professional fluency in English.

Why Causal Foundry

- Apply statistics to problems that affect real operational decisions and human outcomes.
- Gain experience across the full analytical process, from defining a question and preparing data to communicating findings.
- Learn from an interdisciplinary team working across data science, engineering, product and partnerships.
- Explore advanced statistical and AI methods and see how they are tested, deployed and measured in the real world.
- Take meaningful responsibility while receiving guidance and feedback from experienced team members.

📌 Statistics Intern (España)
🏢 Causal Foundry
📍 España