Data Science Specialist (Python)

Accenture; Barcelona; Híbrido; EUR 40.000 - 55.000; Jornada completa

Descripción de la vacante

Accenture busca un Data Scientist para unirse a nuestro equipo global. Desarrollarás analítica avanzada e modelos de IA que aprovechan datos de la cadena de suministro para generar predicciones y capacidades de optimización.

Trabajarás desde análisis exploratorio hasta implementación, colaborando con data engineers y stakeholders. Se requiere experiencia en Python, ML y entornos en la nube; el puesto es híbrido en Barcelona o Madrid.

Formación

• 1–3 años de experiencia en proyectos de Data & AI, con exposición a Supply Chain o dominios relacionados.
• Python obligatorio y experiencia con bibliotecas ML (scikit-learn, XGBoost, TensorFlow, PyTorch u otros).
• SQL para exploración de datos y comprensión de entornos en la nube (Azure ML, Databricks).
• Comprensión del ciclo de vida de IA y capacidad de trabajo en entornos globales.

Responsabilidades

• Traducir retos de negocio de la cadena de suministro en problemas de ciencia de datos.
• Desarrollar, entrenar y optimizar modelos de machine learning.
• Colaborar con Data Engineers para garantizar disponibilidad y escalabilidad de datos.
• Apoyar el despliegue y monitorización de modelos en entornos cloud.
• Cuantificar impacto comercial mediante KPI y métricas de rendimiento.

Conocimientos

Python

SQL

Machine Learning

Time series forecasting

Optimization techniques

Model evaluation

Cloud environments

Herramientas

Azure ML

Databricks

scikit-learn

XGBoost

TensorFlow

PyTorch

Descripción del empleo

Descripción del trabajo

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.

Key Responsibilities

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.

How does the ideal candidate look like:

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.

Technical Skills

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.

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions, assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships.

Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

BarBarcelona, La RotondaType: Full time