Data Scientist

MRP-Global; Spain; Remote; EUR 69,000 - 124,000; Full time

Job summary

MRP-Global is seeking a Data Scientist to join an international fashion brand in Europe on a remote long-term freelance engagement. You will develop demand and cold-start forecasting models across products, sizes, stores, channels and markets to support planning across Wholesale and D2C.

The role requires strong Python, SQL and time-series forecasting skills, with experience in Databricks, PySpark and cloud platforms, plus familiarity with ML tooling and generative AI concepts.

Qualifications

• Proven experience in Data Science, forecasting or analytics.
• Strong Python and SQL skills with time-series forecasting knowledge.
• Experience with Databricks, PySpark, Delta Lake and cloud platforms.

Responsibilities

• Develop demand and cold-start forecasting models across products, sizes, stores, channels and markets.
• Support buying, allocation, replenishment and planning for Wholesale and D2C channels.

Skills

Forecasting

Python

SQL

Time-series

ARIMA/ETS

Deep learning

Databricks

PySpark

Cloud platforms

MLflow

MLOps

Git

CI/CD

Generative AI

LLMs

Retail experience

Seasonality

Forecasting libs

Tools

Databricks

PySpark

Delta Lake

Azure DevOps

Streamlit

PyTorch

TensorFlow

TimeGPT

MLflow

MLOps

Git

CI/CD

LLMs

Job 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