Data & AI Strategy Data Science Analyst

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 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.

• Traducir los desafíos de negocio de la cadena de suministro en problemas de ciencia de datos y marcos analíticos.
• Desarrollar modelos predictivos y prescriptivos (por ejemplo, pronóstico de demanda, optimización de inventario, predicción de nivel de servicio, análisis de tiempo de entrega).
• Realizar análisis exploratorio de datos e ingeniería de características utilizando productos de datos seleccionados.
• Diseñar, entrenar, validar y optimizar modelos de aprendizaje automático.
• Aplicar técnicas estadísticas y metodologías de experimentación para validar el impacto.
• Colaborar con ingenieros de datos para garantizar la disponibilidad, calidad y preparación de los datos.
• Apoyar el despliegue y monitoreo de modelos en entornos de nube.
• Garantizar la explicabilidad, robustez y gobernanza de las soluciones de IA.
• Cuantificar el impacto en el negocio mediante la definición de KPIs y la medición del desempeño.
• Comunicar los hallazgos y resultados de los modelos a audiencias tanto técnicas como no técnicas.

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.

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 and 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. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

• 1-3 años de experiencia en proyectos de Data & IA (estrategia y/o desarrollo técnico), idealmente con exposición a la cadena de suministro y operaciones o dominios relacionados.
• Experiencia técnica práctica en la construcción de soluciones de IA, incluyendo:
  • Python (obligatorio)
  • Librerías de aprendizaje automático (scikit-learn, XGBoost, TensorFlow, PyTorch o similares)
  • SQL para exploración de datos
• Strong understanding of:
  • Supervised and unsupervised learning
  • Time series forecasting
  • Optimization techniques (basic linear programming or heuristics is a plus)
  • Model evaluation and validation frameworks
• Experiencia trabajando con entornos de nube (Azure ML, Databricks o similares).
• Comprensión del ciclo de vida completo de la IA: experimentación, despliegue, monitoreo y gobernanza.
• Capacidad para alinear las soluciones analíticas con los KPIs del negocio y generar valor medible.
• Mentalidad analítica y sólidas habilidades de resolución de problemas.
• Excelentes habilidades de comunicación, simplificando conceptos analíticos complejos para audiencias diversas.
• Adaptabilidad y colaboración en entornos globales y de ritmo acelerado.
• Dominio del inglés (requisito); otros idiomas son un plus.

• Programación: Python (obligatorio), SQL.
• Aprendizaje automático: modelado predictivo, ingeniería de características, ajuste y validación de modelos.
• Series temporales y pronóstico: ARIMA, Prophet, métodos de pronóstico basados en ML.
• Técnicas de optimización: métodos de investigación operativa o heurísticos (plus).
• Visualización de datos: comunicación de hallazgos mediante dashboards o herramientas de visualización.
• Plataformas de nube y ML: Azure ML, Databricks o similares.
• Gobernanza de modelos: monitoreo, explicabilidad y seguimiento del desempeño.

• Definición del problema: Traducir los desafíos de negocio en soluciones analíticas.
• Alineación de la estrategia de datos e IA: Garantizar que los modelos se integren en los ecosistemas de datos más amplios.
• Estrategia de datos e IA: Capacidad para definir y ejecutar estrategias alineadas con los objetivos del negocio.
• Desarrollo de casos de negocio: Cuantificar el impacto, definir KPIs y alinearse con las prioridades ejecutivas.
• Pensamiento crítico y resolución de problemas: Enfoque estructurado ante desafíos complejos.
• Comunicación y presentación: Simplificar la complejidad técnica para audiencias diversas.
• Adaptabilidad: Prosperar en entornos globales, dinámicos y de ritmo acelerado.

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other legally protected status. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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 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.

• 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.
• Communicate insights and model outcomes to both technical and non-technical audiences.

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.

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 and 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. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

• 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-experience with:
  • Python (mandatory)
  • Machine Learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch, or similar)
  • SQL for data exploration
• Strong understanding of:
  • Supervised and unsupervised learning
  • Time series forecasting
  • Optimization techniques (basic linear programming or heuristics is a plus)
  • Model evaluation and validation frameworks
• Experience working with cloud-based environments (Azure ML, Databricks, or similar).
• Understanding of end-to-end AI lifecycle: experimentation, deployment, monitoring, governance.
• Ability to align analytical solutions with business KPIs and measurable value.
• Analytical mindset with strong problem-solving skills.
• Excellent communication skills, simplifying complex analytical concepts for diverse audiences.
• Adaptability and collaboration in global, fast-paced environments.
• Proficiency in English (required); additional languages are a plus.

• Programming: Python (mandatory), SQL.
• Machine Learning: Predictive modeling, feature engineering, model tuning and validation.
• Time Series & Forecasting: ARIMA, Prophet, ML-based forecasting methods.
• Optimization Techniques: Basic operations research or heuristic methods (plus).
• Data Visualization: Communicating insights through dashboards or visualization tools.
• Cloud & ML Platforms: Azure ML, Databricks, or similar.
• Model Governance: Monitoring, explainability, and performance tracking.

• Problem Framing: Translating business challenges into analytical solutions.
• Data & AI Strategy Alignment: Ensuring models integrate within broader data ecosystems.
• Data & AI Strategy: Ability to define and execute strategies aligned with business objectives.
• Business Case Development: Quantifying impact, defining KPIs, and aligning with executive priorities.
• Critical Thinking & Problem Solving: Structured approach to complex challenges.
• Communication & Presentation: Simplifying technical complexity for diverse audiences.
• Adaptability: Thriving in global, fast-paced, and evolving environments.

Creemos que nadie debe ser discriminado por sus diferencias. 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.