Data & AI Strategy Analyst: Supply Chain Forecasting

Accenture; Barcelona; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Accenture is hiring a Data Scientist to build advanced analytics and AI models for supply chain data products. You will translate business problems into data-driven solutions, focusing on forecasting, optimization, and performance analytics.

Hybrid work in Barcelona or Madrid with global collaboration across domains. This role covers end-to-end AI lifecycle from problem framing to deployment and monitoring, with collaboration across data engineers and business stakeholders.

Formación

• 1–3 years in Data & AI projects (strategy and/or technical development), ideally with exposure to Supply Chain & Operations or related domains.
• Hands‑on technical expertise in building AI solutions—Python and ML libraries.
• Cloud-based environments experience (Azure ML, Databricks) and end‑to‑end AI lifecycle understanding.

Responsabilidades

• Translate Supply Chain challenges into data science problems.
• Develop predictive and prescriptive models (e.g., demand forecasting, inventory optimization).
• Perform exploratory data analysis and feature engineering.
• Design, train, validate, and optimize machine learning models.
• Collaborate with Data Engineers for data readiness and scalability.
• Support model deployment and monitoring in cloud environments.
• Communicate insights to technical and non-technical audiences.

Conocimientos

Python

SQL

scikit-learn

XGBoost

TensorFlow

PyTorch

Herramientas

Azure ML

Databricks

Descripción del empleo

Accenture is hiring a Data Scientist to build advanced analytics and AI models for supply chain data products. You will translate business problems into data-driven solutions, focusing on forecasting, optimization, and performance analytics.

Hybrid work in Barcelona or Madrid with global collaboration across domains. This role covers end-to-end AI lifecycle from problem framing to deployment and monitoring, with collaboration across data engineers and business stakeholders.