Data Scientist - Advanced Analytics & AI

at  SIEMENS ENERGY

As a member of our global team for data & artificial intelligence, you work on challenging projects from all areas of the energy industry. Through combining strategic and business insights with the latest data science techniques, you help our business to drive maximum value from data and develop analytics solutions, that provide strategic advantages in their day-to-day operations.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data & AI team team plays a significant role in driving the energy transformation.
Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

LET’S TALK ABOUT US

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year. That way we not only contribute, but actively drive the energy revolution for a better and greener future.
The Data & Artificial Intelligence organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.

• Develop advanced analytics solutions leveraging artificial intelligence and machine learning techniques for application along the value chain
• Work in cross-organizational, multi-disciplinary teams supporting application and implementation of new data science and AI/ML concepts
• Drive the roll-out of AI/ML across the company through knowledge sharing, mentoring, supporting technical trainings
• Be up to date on latest developments in data science and AI/ML principles and theories to help the business make truly data-driven decisions
• Collaborate in a partner ecosystem across industry and academia to drive research and leverage know-how in this field
• Document the developed methods and processes and present results to stakeholders across the organization on a regular basi