> Markdown version of [/jobs/ext/4697619-data-scientist](https://www.wearedevelopers.com/jobs/ext/4697619-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** MRP-Global
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Tensorflow, Standard Sql, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Generative AI, Git, Pandas, Data Lakes, Pyspark, Scikit Learn, Machine Learning Operations, Streamlit Framework, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.jobleads.com/es/job/data-scientist--spain--e67e0d1dde599e36187b9744801d30cf4

## About the Role

* 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

## Description

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