Data Scientist, AI Strategy for Supply Chain

Accenture; Barcelona; Híbrido; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Accenture is seeking a Data Scientist to join our global team to develop advanced analytics and AI models that leverage curated Supply Chain data products for predictive insights and optimization capabilities.

You will translate complex business problems into data‑driven solutions, design models that improve forecasting accuracy, optimize inventory levels, and drive operational efficiency across the full AI lifecycle.

Formación

• 1–3 years in Data & AI projects with exposure to Supply Chain or related domains.
• Hands‑on experience building AI solutions using Python and ML libraries.
• Strong understanding of supervised/unsupervised learning and time series forecasting.
• Experience with cloud environments (Azure ML, Databricks) and end‑to‑end AI lifecycle.

Responsabilidades

• Translate Supply Chain business challenges into data science problems and analytical frameworks.
• Develop predictive and prescriptive models (e.g., demand forecasting, inventory optimization, service level prediction).
• Perform exploratory data analysis and feature engineering on curated data products.
• Design, train, validate, and optimize machine learning models and assess impact.

Conocimientos

Python

SQL

Machine Learning

Time series forecasting

Model evaluation

Herramientas

Azure ML

Databricks

Descripción del empleo

Accenture is seeking a Data Scientist to join our global team to develop advanced analytics and AI models that leverage curated Supply Chain data products for predictive insights and optimization capabilities.

You will translate complex business problems into data‑driven solutions, design models that improve forecasting accuracy, optimize inventory levels, and drive operational efficiency across the full AI lifecycle.