Computer Science Internship in Barcelona

Description

Job Summary: Internship in complaint management, data analysis, digital transformation, and process improvement within a customer service environment. Key Highlights: 1. Participate in process improvement and coordination of customer service channels. 2. Support qualitative analysis of complaints using AI and BI. 3. Collaborate on the implementation of AI solutions and the use of BI. ENDESA, S.A. **Barcelona** (Barcelona) T/2026/49913 **Apply now for an internship scholarship at ENDESA, S.A.**What does the company offer? * **1** internship position at ENDESA, S.A. for **9 months**, starting in **May 2026** * Monthly gross scholarship allowance of **900.00€** * 7 hours per day * Internship location in Spain: Avda. Vilanova, 12 Barcelona (Barcelona) * The scholarship includes enrollment in the Permanent Training Master's Program in Organizational Management, Key Competencies, and Data Analytics \- MFPGO (Universidad Camilo José Cela) What profile is the company seeking? * **University undergraduate student missing only the final thesis (TFG/PFC) or university graduate or university graduate with master's degree:** Bachelor's Degree in Computer Engineering Competency Assessments As part of the selection process, you will be required to complete the following assessments: * English language test Proposed Training Plan As the leading company in the Spanish electricity sector, Endesa currently employs over 10\.000 people and serves 11 million customers. Individuals joining this company participate in a talent development and training program based on collaborative learning. While developing professional competencies essential for their future careers, they also contribute to major projects across electricity generation, distribution, and sales. **Department** Complaints Handling Unit within the Customer Service Directorate. This area focuses on managing, analyzing, and improving processes related to customer complaints, as well as optimizing customer service channels. **Training Objectives** During the internship, students will: **Organizational Management:** Participate in process improvement initiatives within complaint management systems and coordinate with various customer service channels. **Data Analytics:** Support qualitative analysis of complaints using artificial intelligence and business intelligence tools, as well as monitor operational activity. **Digital Transformation and Emerging Technologies:** Collaborate on implementing artificial intelligence solutions and applying BI tools to complaint management. **Key Competencies:** Develop analytical capabilities, collaborative teamwork, and a continuous improvement mindset within customer service environments. **Process Innovation:** Contribute to defining efficiency measures for complaint management and customer service channels through the application of emerging technologies. ‍ **Mentoring and Follow-up** Specialized tutoring with continuous support. Progress evaluation through goal setting and periodic follow-ups. Ongoing feedback to foster continuous improvement. **Candidate Profile** **University Qualification:** Computer Engineering **Required Skills:** Analytical ability, focus on process improvement and information analysis. **Preferred Languages and Tools:** **Languages:** Spanish and Catalan **Tools:** Knowledge of artificial intelligence, BI tools (QlikView, QlikSense, Power BI), Python, ETL, and Java Spring Boot. Specific expertise in artificial intelligence and business-oriented data analytics. **Training Value – Master's Program in Organizational Management, Key Competencies, and Data Analytics** This program offers a unique hands-on experience aligned with the Master's Program in Organizational Management, Key Competencies, and Data Analytics, enabling students to apply advanced strategies in a real-world professional setting. Students will benefit from specialized mentoring, access to cutting-edge tools, and active participation in projects that strengthen their analytical, organizational, and technological profiles.