Machine Learning Internship Applied to Electrical System Planning

Description

Position Summary: Internship at Red Eléctrica to participate in the development of advanced tools for electrical network planning using Machine Learning and AI. Key Highlights: 1. Development of Machine Learning and AI models for electrical system planning. 2. Collaboration in innovation and digitalization projects for the electrical system. 3. Opportunity to apply advanced techniques in a real professional environment. RED ELECTRICA DE ESPAÑA, SAU **Madrid** (Madrid) T/2026/50144 **What does the company offer?** --------------------------- * **1** internship position at **RED ELECTRICA DE ESPAÑA, SAU**, lasting **3 months**, starting in **July 2026** * Monthly gross stipend of **800.00€** * 6 hours per day * START Program * Internship location in Spain: La Moraleja (Alcobendas) – Paseo del Conde de los Gaitanes, 177\. 28109 Alcobendas (Madrid) Madrid (Madrid) **What profile is the company seeking?** --------------------------------- * **University undergraduate or master's student:** Bachelor’s degree in Mathematics, Mathematical Engineering, Data Science, Mathematics and Computer Science, Computer Engineering \- Computer Systems Engineering, Computer Science Engineering, Master’s in Artificial Intelligence **Proposed Training Plan** ------------------------------- Company: Red Eléctrica is the company responsible for managing, operating, and developing electrical system infrastructure in Spain, ensuring the security, continuity, and efficiency of electricity supply. Department: The internship will take place in the Electrical Planning Department, where the intern will participate in training projects related to the analysis and development of advanced tools for electrical network planning. The student will collaborate in designing and developing Machine Learning and Artificial Intelligence models applied to improving technical analysis processes and supporting decision-making, always under supervision and with a learning-oriented approach. Training Objectives During the internship, the selected candidate will be able to: * Participate in developing Machine Learning algorithms for analyzing large volumes of electrical data (demand, generation, network topology). * Design predictive models aimed at demand forecasting, behavioral pattern identification, and anomaly detection in the grid. * Develop tools in Python or other programming languages for data processing, cleaning, and exploratory analysis. * Learn about AI applications in grid optimization and automation of technical planning studies. * Strengthen multidisciplinary teamwork and technical communication skills for presenting results. Planned Training Activities The intern will participate — always under supervision — in: * Training-oriented development of Machine Learning models applied to electrical system planning. * Processing and cleaning of electrical data, and exploratory data analysis. * Integration of tools and results with network simulators and electrical models. * Collaboration in innovation and digitalization projects for the electrical system. * Documentation and presentation of training outcomes and technical methodologies. All activities are strictly training-oriented and do not entail responsibilities inherent to an employment position. ‍ Mentorship and Follow-up * The intern will be assigned a specialized mentor who will support their learning journey. * Training objectives will be defined at the start of the internship, aligned with the candidate’s academic background. * Periodic follow-up with continuous feedback will reinforce competencies in Machine Learning, data analysis, and electrical planning. Candidate Profile Eligible degrees: * Fourth-year undergraduate student in Mathematics, Mathematical Engineering, Data Science, Computer Science, or related fields. * Master’s student in Data Science, Artificial Intelligence, or similar programs, with a prior bachelor’s degree in the specified disciplines or engineering (industrial, energy, or computer). Required skills: * Knowledge of Machine Learning. * Programming in Python. Desirable competencies: * Familiarity with R and Power BI. * Motivation, technical curiosity, and capacity for autonomous learning. * Ability to work collaboratively and communicate results clearly. Training Value This internship offers the opportunity to apply advanced Machine Learning techniques to electrical system planning, building technical competencies in programming, data analysis, and modeling within a real, supervised, and learning-focused professional environment. **Regulatory Compliance Review** This offer has been drafted with a fully training-oriented focus, avoiding any presentation of activities as autonomous job responsibilities. Compliance with **Royal Decree 592/2014** and **Royal Decree 822/2021\.** is ensured.