Siemens Gamesa

 

A Snapshot of Your Day

As a student worker in the Reliability Modelling team within the Product Integrity organization, your day will involve supporting essential data analysis and modelling tasks as well as development of our internal tools. You will engage in various activities, from preparing operational data to assisting with reliability modelling and tool development. This role will provide you with hands-on experience in a dynamic environment, enhancing your technical skills while contributing to Siemens Energy’s initiatives.

The position is part-time, requiring flexibility in your schedule to accommodate your studies.

How You’ll Make an Impact

Data Processing & Analysis

• Assist in collecting, cleaning, and preparing large datasets from wind turbine operations for reliability analysis.

• Perform exploratory data analysis under supervision

• Support the validation and quality control processes for data used in failure-rate or availability models.

• Generate basic data visualizations and summary reports to support the technical team.

Reliability Modelling Support

• Assist in running established scripts and simulations for existing reliability and performance models.

• Support the documentation of modelling methodologies, data sources, and simulation results.

• Contribute to the maintenance and testing of analytical tools and codebases (consisting of Shiny apps and R-packages) used by the team.

What You Bring

• Currently enrolled in a Master’s degree program in Engineering (e.g., Mechanical, Electrical), Data Science, Statistics, Computer Science, or a related quantitative field.

• Foundational knowledge of data analysis and statistics, with a strong willingness to learn and apply academic concepts in a professional setting.

• Skills in programming (Python or R) and Data visualization.

• Nice to have experience in: Version control and KQL.

• Personal competences: Attention to detail, structured and problem-solving attitude.

• English language skills

About the Team

Join a team that values accuracy, collaboration, and continuous improvement. You will have the opportunity to develop your professional skills in a global environment. We offer flexible working hours that support your studies and an inclusive team culture where knowledge-sharing and professional development are at the core. Become part of a company committed to enabling the energy transition and shaping a sustainable future.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With approximately 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: Employee Video

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character—no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Flexible working hours to accommodate your study schedule.

• An encouraging and collaborative work environment with opportunities for growth and development.

• Hands-on experience in data science and engineering support.

Application

Don’t hesitate to apply before May 24th, 2026. Ongoing selection is applied; the role might be filled before the last application date.

Location:  2750 Ballerup, DK

Please contact TA Partner, Simone Præsius if you have any questions regarding the recruitment process: simone.praesius.ext@siemens-energy.com