Are you ready to design intelligent solutions that transform Supply Chain decision-making? At Accenture, we are reinventing organizations through technology, data, and artificial intelligence—helping clients unlock new sources of value and measurable impact for their businesses and society.

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We are looking for a Data Scientist to join our general team. This role focuses on developing advanced analytics and AI models that leverage curated Supply Chain data products (e.g., Active Inventory, Demand, Shipments, Purchase Orders) to generate predictive insights and optimization capabilities.

You will play a key role in translating complex business problems into data-driven solutions—designing models that improve forecasting accuracy, optimize inventory levels, enhance service performance, and drive operational efficiency.

From exploratory data analysis to model deployment and monitoring, you will contribute across the full AI lifecycle—problem framing, feature engineering, model development, validation, deployment, and performance tracking.

As part of our team, you will work on cutting-edge initiatives that integrate Machine Learning, optimization techniques,



and AI-driven decision support systems—ensuring solutions are scalable, explainable, and aligned with enterprise data strategies.

While the role is deeply analytical and technical, you will also collaborate with data engineers, architects, and business stakeholders to ensure that analytical models translate into measurable business impact.

Key Responsibilities

- 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, lead-time analysis).
- Perform exploratory data analysis and feature engineering using curated data products.
- Design, train, validate, and optimize machine learning models.
- Apply statistical techniques and experimentation methodologies to validate impact.
- Collaborate with Data Engineers to ensure data readiness, quality, and scalability.
- Support model deployment and monitoring in cloud environments.
- Ensure explainability, robustness, and governance of AI solutions.
- Quantify business impact through KPI definition and performance measurement. xugodme
- Communicate insights and model outcomes to both technical and non-technical audiences.

📌 Data & AI Strategy Data Science Analyst (Barcelona)
🏢 Accenture
📍 Barcelona