Siemens Energy
«Energizamos a la sociedad» apoyando a nuestros clientes en la transición hacia un mundo más sostenible, a partir de tecnologías innovadoras y de nuestra habilidad para convertir las ideas en realidad. Damos forma a los sistemas de energía del hoy y del mañana con cerca de 100.000 empleados en todo el mundo.
Sobre el papel
- Assist cross-functional teams with digitalization and automation initiatives, including supporting monitoring and basic data analysis.
- Learn and support the use of digital tools from the Siemens Energy technology portfolio (such as BI tools, ETL tools, workflow automation platforms).
- Support the creation and updating of interactive dashboards to visualize results and track project performance.
- Gain exposure to SE Finance data models and related ETL processes through guided tasks and learning opportunities.
- Prepare and organize data for AI/ML projects.
- Test and document AI/ML models under supervision.
- Monitor and summarize AI/ML project results to provide input for team discussions.
- Prepare basic reports or summaries of findings for internal stakeholders.
- Document project progress and lessons learned.
- Support the team by documenting workflows, steps, and processes, ensuring records are clear and up to date.
- Assist in creating internal guides, presentation materials, or summaries from workshops and knowledge-sharing sessions.
- Help coordinate with internal teams by gathering feedback and sharing updates, under the guidance of the project team.
- Currently enrolled in a master’s program in Data Science, Computer Science, Information Technology, Business Informatics or a related field.
- Previous experience in internships or part-time roles related to data science, data analysis information technology, or automation is a plus.
- Experience working on academic or personal projects involving AI/ML, automation, or data related fields is a plus.
- Participation in tech communities, hackathons, or relevant student organizations.
- Basic knowledge of programming languages such as Python, R, or similar.
- Familiarity with automation, data analysis and business intelligence tools (e.g., Alteryx, Power BI, UiPath, etc.) and willingness to learn new tools.
- Understanding of ETL processes and data modeling concepts is a plus
- Exposure to machine learning concepts, algorithms, and frameworks is desirable
- Proficiency in MS365 Office Suite and Apps (Excel, Word, PowerPoint, Teams, SharePoint.).
- Structured and detail-oriented approach to documentation and process management
- Detail-oriented with a focus on accuracy and quality
- Strong analytical mindset with the ability to interpret data and generate actionable insights
- Quick learner, able to adapt to new tools, technologies, and processes efficiently
- Good communication skills in English
- Proactive, self-motivated, and eager to contribute to team success
- Curiosity and passion for digitalization, automation, and AI/ML topics
- Eagerness to learn and adapt in a dynamic work environment
- Availability to work from our Bucharest office 3 days per week, with 2 days remote
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo- Your lunch with SE meal tickets.
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