PhD Data Scientist – Causal Inference & Real‑World Impact

Causal Foundry; Barcelona; On-site; EUR 55,000 - 80,000; Full time

Job summary

Causal Foundry in Barcelona seeks a PhD graduate to join our data science team. You will analyse real-world data, develop and evaluate models, and design analyses that help partners make better decisions.

This hands-on role focuses on translating findings into tangible improvements. No professional experience beyond your PhD is required; we welcome candidates moving directly from doctoral research into industry.

Qualifications

• PhD in a quantitative field (stats, CS, maths, physics)
• Strong foundation in statistical modelling and ML
• Experience applying quantitative methods to data during PhD or projects
• Strong Python and SQL skills
• Experience using AI agents and coding tools for data workflows with validation
• Understanding of model evaluation and causal inference
• Reproducibility, documentation and version control

Responsibilities

• Explore, clean and analyse complex longitudinal datasets to understand patterns and insights.
• Translate questions into well-defined analytical or causal problems.
• Build and validate models for forecasting, risk stratification or recommender systems.
• Design and analyse experiments and apply causal inference methods.
• Account for uncertainty, bias and missing data in results.
• Develop reproducible analyses and clearly documented code in Python and SQL.
• Collaborate with ML engineers and domain experts to turn findings into solutions.
• Communicate methods and findings clearly to colleagues and partners.
• Contribute analyses and technical writing to scientific outputs.

Skills

Python

SQL

Statistical modelling

Education

PhD in statistics / computer science / mathematics / physics

Tools

Claude Code

Codex

Cursor

Job description

Causal Foundry in Barcelona seeks a PhD graduate to join our data science team. You will analyse real-world data, develop and evaluate models, and design analyses that help partners make better decisions.

This hands-on role focuses on translating findings into tangible improvements. No professional experience beyond your PhD is required; we welcome candidates moving directly from doctoral research into industry.