DATA SCIENCE INTERN

Description

Summary: Seeking a Python-first, statistics-strong Data Science Intern to partner with Data Analysts, build and iterate LTV models, and evaluate A/B tests. Highlights: 1. Opportunity to solve complex problems and build predictive models. 2. Develop skills in Python, statistics, and machine learning applications. 3. Gain experience in A/B testing and translating model outputs to signals. * DATA BARCELONA **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.