We are a global company, a leader in developing regenerative infrastructures that generate a positive impact on society. Our team—comprising over 65,000 professionals across more than 40 countries on five continents—contributes to our mission of designing a better planet. We seek individuals who want to make a difference, promote sustainable development, and find solutions to the world’s greatest challenges, including climate change, overpopulation, and water scarcity. Join us in pursuing solutions for a sustainable future. Develop and implement advanced artificial intelligence models to extract value from data, optimize processes, and support strategic decision-making, ensuring innovation and effective application of analytical techniques across the organization. Job Description JOB RESPONSIBILITIES * Develop and implement artificial intelligence models, applying advanced machine learning techniques for optimization, prediction, and data-driven decision-making. * Design and conduct complex statistical analyses on large volumes of data, using advanced algorithms and techniques to identify patterns, trends, and correlations. * Build and optimize data pipelines for preparing, cleaning, and transforming large datasets, ensuring their quality and suitability for analytical models. * Apply natural language processing (NLP), computer vision, and deep learning techniques to projects requiring advanced analysis of unstructured data. Evaluate the performance of predictive models using metrics and cross-validation techniques, ensuring their reliability and generalization capability. * Deploy models into production environments, collaborating with data engineers and development teams to integrate models into enterprise systems and applications. * Research and innovate new artificial intelligence techniques and methodologies, ensuring adoption of the latest trends in data science within the organization. * Generate actionable insights from data analysis, presenting results to business teams through reports, advanced visualizations, and data storytelling. * Collaborate closely with analytics, data engineering, and business teams to define modeling strategies and maximize the impact of artificial intelligence across the organization. * Ensure adherence to best practices in data science, promoting model reproducibility, process documentation, and transparency in data-driven decision-making. Candidate Requirements JOB PROFILE EDUCATION * University degree in Mathematics, Physics, Computer Engineering, or another engineering discipline. * Master’s or postgraduate degree in Data Science, Business Analytics, Artificial Intelligence and Machine Learning, or a related field. EXPERIENCE * 2–5 years SPECIFIC KNOWLEDGE Languages * English C1 Tools * Programming languages for data analysis (Python) for developing machine learning models and processing data. * Machine learning libraries and frameworks (TensorFlow, PyTorch, Scikit-learn) for implementing AI models. * Cloud computing environments and platforms (Google Cloud AI, AWS SageMaker, Azure ML) for training and deploying models in production environments. * Databases and large-scale data processing tools (SQL, Apache Spark, Hadoop) for extracting and manipulating structured and unstructured data. * Web application programming in Python using Django. * Knowledge of machine learning and time-series modeling. * Experience in AI-powered computer vision (YOLO, ResNet, MobileNet). * Knowledge of LLM usage (fine-tuning, prompting, RAG, and knowledge graphs). * Skills in optimization and simulation, including integer programming models, nonlinear optimization, and stochastic and event-based simulation. Desirable * Optimization of machine learning and artificial intelligence models, ensuring their performance in production environments through hyperparameter tuning and performance-enhancement techniques. * Deployment of models into production, guaranteeing scalability, efficiency, and maintenance of AI solutions in enterprise environments. *We are a company that values diversity as a source of talent and therefore work to foster an inclusive environment promoting respect, belonging, and commitment so that all individuals can participate on equal footing. We invite everyone to apply regardless of origin, circumstances, background, or condition. ACCIONA has received the Top Employer certification for 2021, 2022, 2023, 2024, and 2025, recognizing the Company as one of the best employers in Spain.*