- DATA
DATA SCIENCE
INTERN
YOU ARE
-
You are a Python-first, statistics-strong individual.
-
You possess the autonomy and speed to self-direct and ship working code without step-by-step guidance.
-
You are capable of explaining complex modeling choices in plain language with actionable conclusions.
-
You are currently a student at a university in Spain able to sign a “convenio de prácticas”.
YOUR MISSION
-
Partner with Data Analysts to solve complex problems such as probabilistic LTV, churn prediction, and forecasting.
-
Build, compare, and iterate LTV models (e.g., survival/retention-based, GBMs) to produce calibrated predictions for UA and pricing.
-
Predict churn windows and retention curves by app/geo/cohort to inform payback and creative strategies.
-
Translate model outputs into conversion signals for Google and Meta optimization.
-
Pull and transform event and purchase data from BigQuery, RevenueCat, and AppsFlyer into model-ready datasets.
-
Evaluate A/B tests and pricing experiments using frequentist or Bayesian methods
YOUR SKILLS
Core Technical: Strong hands-on experience with Python (pandas, NumPy, scikit-learn, Jupyter).
Theoretical: Solid understanding of probability, hypothesis testing, regression, classification, and model calibration.
Evidence: Ability to show at least one end-to-end model (academic or personal project).
Nice-to-have: Experience with Bayesian modeling (PyMC/Stan), survival analysis, gradient boosting (XGBoost/LightGBM), and SQL/BigQuery.
WE OFFER YOU
-
Remuneration: A remunerated full-time position providing real ownership and impact.
-
Flexibility: Flexible working hours, 25 days annual leave, and 1 month of ‘work from anywhere’ outside of Spain.
-
Workspace: Private office at Norrsken House and a €5,000 budget for professional home-office equipment.
-
Wellness: Option for a high-end gym membership (innerflow.es) and healthy in-office catering starting at €2-€3.
-
Career: Tailored career plan with performance reviews and salary calibrations every 6 months.
Nothing matches you? It’s okay.
Show us who you are.
No openings, but we like people who
kick doors open. Show us who you are.
