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Job Summary: The intern will participate in developing solutions for regulatory challenges in Brazil's electricity sector, leveraging data, technology, and AI to optimize operations and analyze networks. Key Highlights: 1. Hands-on learning journey in electrical energy, data, technology, and AI 2. Development of solutions for regulatory challenges in the electricity sector 3. Participation in projects involving applied AI and management of billion-dollar assets * Embark on a hands\-on learning journey at the intersection of electrical energy, data, technology, and Artificial Intelligence! You will participate in developing solutions for regulatory challenges in Brazil's electricity sector, supporting technical and geospatial data handling, asset management, electrical loss analysis, automation, AI, and transmission and distribution network analysis. **Responsibilities and Duties** **Understand the regulatory world**: grasp how electricity sector regulation (ONS/ANEEL) works and its direct impact on operations, tariffs, and company remuneration; * **Participate in process automation**: collaborate on creating Python and SQL scripts to efficiently process, validate, and transform thousands of records; * **Learn spatial data technologies**: support projects using Oracle/PostgreSQL databases, GIS, and geospatial analysis of real electrical infrastructure; * **Explore AI applied to the electricity sector**: participate in developing and applying AI/Machine Learning models for anomaly detection in data, equipment failure prediction, electrical loss optimization, automated validation of regulatory data, and predictive asset analysis over their lifecycle; * **Understand electrical asset management**: participate in modeling assets (transformers, transmission lines, substations, etc.) across their lifecycle, understanding how data accuracy and quality directly influence the regulatory remuneration base, concessionaires’ financial returns, and strategic expansion planning; * **Understand electrical losses**: support analysis of technical and non\-technical losses, comprehending their impact on tariffs, operational efficiency, and companies’ financial sustainability; * **Analyze complex networks**: participate in applying algorithms and topology to understand connectivity within transmission and distribution systems, identifying critical points and opportunities for loss reduction; * **Contribute with real impact**: directly support the quality, reliability, and economic and operational efficiency of electrical systems; * **Grow technically**: progress from simple validations to participating in full ETL solution development, AI models, loss calculations, and asset monitoring dashboards; * **Join a multidisciplinary team**: collaborate with engineers, data scientists, analysts, and specialists in an environment of continuous learning and innovation. **Requirements and Qualifications** **Requirements to start:** **Pursuing Electrical Engineering** (5th to 10th semester) with: * Completed courses: Power Systems, Energy Distribution, Databases/Data Structures and Algorithms; * **Basic SQL**: you know how to write queries with SELECT, JOINs, and aggregate functions; * **Logical reasoning**: ability to design algorithms and solve problems programmatically; * **Fundamentals of electrical networks**: understand the difference between radial (distribution) and mesh (transmission) topologies; * **Advanced Excel**: pivot tables and formulas are your daily tools; * **Curiosity and willingness to learn**: openness to exploring technical standards, new tools, and emerging technologies—including AI. **Differentiators that will set you apart:** * **You’ve played with maps**: experience with ArcGIS, QGIS, or geographic data analysis; * **Python is your friend**: familiarity with Pandas, GeoPandas, or prior automation work; * **Curiosity about AI/Machine Learning**: prior exploration of Scikit\-learn, TensorFlow, predictive models, or time series analysis; * **Spatial databases**: familiarity with PostGIS, Oracle Spatial, or SDO\_GEOMETRY data; * **Regulatory knowledge**: awareness of Prodist, BDGD, BDIT, Proret, or ONS Network Procedures; * **Understanding of losses**: knowledge of Joule losses, transformer losses, or commercial losses; * **Curiosity about tariffs**: interest in how regulation impacts companies’ costs and revenues; * **Coordinate system knowledge**: familiarity with SIRGAS 2000, UTM, or shapefiles; * **You love automation**: PL/SQL, ETL scripts, or any tool eliminating manual work excites you; * **Interest in Data Science**: data visualization, statistical analysis, or predictive modeling; * **Technical English**: ability to read international documentation and standards (IEEE, IEC). **Why is this opportunity unique?** * **Cutting-edge technology stack**: Oracle, PostgreSQL/PostGIS, Python, ArcGIS/QGIS, ETL tools, and AI/ML libraries * **AI applied to critical infrastructure**: work with Machine Learning algorithms on real-world energy sector problems * **Accelerated learning**: immersion in technologies most valued by the market (data, AI, cloud, automation) * **Real impact**: your work directly supports operation of Brazil’s electrical system * **Strategic business insight**: understand the connection among technical data, regulation, tariffs, and economic viability * **Billion-dollar asset management**: participate in modeling and controlling assets underpinning the country’s energy infrastructure * **Loss expertise**: master calculation methodologies directly impacting sector efficiency and sustainability * **AI-driven innovation**: develop intelligent solutions for anomaly detection, failure prediction, and process optimization * **Challenging projects**: participate in analyses of millions of records, validation of complex topology, predictive modeling, segment-based loss calculation, and automation of regulatory processes * **Bridge to the future**: experience with Smart Grid, AI, geospatial data, critical infrastructure, and regulated economics * **Differentiated portfolio**: build projects combining electrical engineering, data science, and artificial intelligence **Additional Information** **Health and Safety:** * Individual Life Insurance at no cost to the employee. **Financial Support and Flexibility:** * Caju Transport Card (no deduction). * Meal/food allowance via Caju Card. * Itaú Bank account with fee exemption. **Quality of Life and Work Environment:** * Hybrid work model, with office attendance adjusted to company demands. * Flexible working hours, up to 2 hours adjustment per day. * Birthday Day Off. * Free parking. * Healthy and humanized environment encouraging innovation and authenticity. **Development and Recognition:** * Partnerships with educational institutions to support your academic growth. #### **Kaffa is one of the companies under** **Imagem Tecnologia**, **which combines a robust** **technology background** **with our deep** **business knowledge of the utilities sector** **to solve strategic issues for leading companies in this segment.** #### **Learn more about our business on our website**
