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

• 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

• Excellent rates
• Outside IR35
• CET Timezones

Data Scientist to join an international fashion brand in Europe on a remote long term freelance engagement.

Excellent rates, 100% remote working (CET Time zones) & 12 month initial commitment.