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# Data Science Specialist (Python)

- **Company:** Accenture
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Visualization, Decision Support Systems, Python (Programming Language), Linear Programming, Machine Learning, Tensorflow, Azure Machine Learning, SQL Databases, Feature Engineering, Pytorch, Model Validation, Scikit Learn, Optimization Algorithms, Xgboost, Software Library, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.jobleads.com/es/job/ee2e75866f19a1637f078feb999ebded5

## About the Role

1-3 years in Data & AI projects (strategy and/or technical development), ideally with exposure to Supply Chain & Operations or related domains.Python (mandatory)Machine Learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch, or similar)SQL for data explorationStrong understanding of:Supervised and unsupervised learningTime series forecastingOptimization techniques (basic linear programming or heuristics is a plus)Model evaluation and validation frameworksExperience working with cloud-based environments (Azure ML, Databricks, or similar).Understanding of end-to-end AI lifecycle: experimentation, deployment, monitoring, governance.Analytical mindset with strong problem-solving skills.Adaptability and collaboration in global, fast-paced environments.Proficiency in English (required); The position is based in Barcelona or Madrid and follows a hybrid work model, with some days working from home and others in the office, where you can create interesting synergies with the rest of your
team. It is essential to reside in Spain and have a work permit in Spain., Programming: Python (mandatory), SQL.Machine Learning: Data Visualization: Cloud & ML Platforms: Azure ML, Databricks, or similar.Monitoring, explainability, and performance tracking.Data & AI Strategy Alignment: Ensuring models integrate within broader data ecosystems.Data & AI Strategy: Ability to define and execute strategies aligned with business objectives.Adaptability: Thriving in global, fast-paced, and evolving environments.

## Description

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.We are looking for a Data Scientist to join our global 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 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., Translate Supply Chain business challenges into data science problems and analytical frameworks.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.Collaborate with Data Engineers to ensure data readiness, quality, and scalability.Support model deployment and monitoring in cloud environments.Quantify business impact through KPI definition and performance measurement.


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