Data Scientist - Demand & Cold-Start Forecasting - Fashion/Retail

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.

Desirable

• 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.