Data Scientist to join an international fashion brand in Europe on a remote long term freelance engagement. The role will focus on developing demand & cold-start forecasting models across products, sizes, stores, channels and markets, supporting buying, allocation, replenishment and planning across Wholesale and Direct-to-Consumer. Key Skills & Experience Proven experience in Data Science, forecasting or advanced analytics. Strong Python (pandas, NumPy, scikit-learn) and SQL skills. Understanding of time-series forecasting, statistical modelling and machine learning. Knowledge of forecasting techniques such as ARIMA, ETS, Croston and deep learning models. Experience in cold-start forecasting, product embeddings and foundation models. Exposure to Databricks, PySpark,



Delta Lake and cloud data platforms. Familiarity with MLflow, MLOps, Git and CI/CD. Awareness of Generative AI, LLMs, embeddings and RAG. Fashion, apparel or retail experience, particularly demand planning, merchandising or supply chain. Understanding of seasonality, promotions, markdowns, size and colour curves. Exposure to TimeGPT, Chronos, TimesFM, PyTorch, TensorFlow or forecasting libraries. Experience with Databricks, Azure DevOps and Streamlit. Open to candidates across Europe (UK included) to work remotely to support CET time zones

📌 Data Scientist (España)
🏢 MRP Global
📍 España