Data Scientist Reinforcement Learning

As a member of our global team for 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. Ready to be part of the future of the energy transition? The Siemens Energy Artificial Intelligence team plays a significant role in driving the energy transformation. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

How You'll Make an Impact

• Develop and implement advanced analytics solutions using AI and machine learning, focusing on reinforcement learning for complex decision-making.
• Design, train, and evaluate ML/RL models with real and simulated data, ensuring scalability, robustness, and integration into production systems.
• Collaborate in cross-organizational, multi-disciplinary teams to apply and implement new data science and AI/ML concepts, especially RL.
• Promote AI/ML adoption through knowledge sharing, mentoring, and technical training.
• Stay current on AI/ML and RL advancements and support their integration into the company.
• Collaborate in a partner ecosystem across industry and academia to drive research and leverage expertise, document methods and present results to stakeholders internally and externally., Our Global Functions are essential in driving the company's strategic initiatives and ensuring operational excellence across various departments, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations.

• Advanced degree (PhD or MSc) in Computer Science, Machine Learning, Mathematics, Physics, Engineering, or related field.
• Longstanding experience, ideally in the energy sector or other domains involving complex systems and decision-making.
• Proven track record in developing end-to-end AI solutions (incl. data acquisition, cleaning, feature engineering, model selection, training, validation, MLOps).
• Strong proficiency in machine learning and reinforcement learning methods, incl. value-based, policy-based, and model-based approaches.
• Hands-on experience in Python and ML libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch); experience with RL frameworks (e.g., RLlib, Stable Baselines, OpenAI Gym), simulation environments and synthetic data generation.
• Excellent communication in English (German a plus), strong problem-solving, customer focus, and ability to collaborate in global, multidisciplinary teams.

At Siemens Energy, we are more than just an energy technology company. With ~100.00 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 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 fueled 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 * In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme * We also offer the opportunity to become a Siemens Energy shareholder * We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity * The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose * In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical