🚀 Data Scientist (f/m/d) Reinforcement Learning

Join to apply for the Data Scientist (f/m/d) Reinforcement Learning role at Siemens Energy.

Get AI-powered advice on this job and more exclusive features.

A Snapshot of Your Day

As a member of our global team for Artificial Intelligence, you work on challenging projects from all areas of the energy industry. By combining strategic and business insights with the latest data science techniques, you help our business drive maximum value from data and develop analytics solutions that provide strategic advantages in daily operations.

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 across cross‑organizational, multidisciplinary 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.

What You Bring

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

About the Team

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 by shaping the global energy transition, partnering with internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With around 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 we research and manufacture drive the energy transition and supply 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 the search for people who support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

We celebrate diversity and inclusion. By bringing together over 130 nationalities, Siemens Energy fuels society with a creative energy that is not discriminated based on ethnicity, gender, age, religion, identity, or disability.

Rewards and Benefits

• A competitive remuneration package aligned with the market.
• Employer‑financed company pension scheme.
• Opportunity to become a Siemens Energy shareholder.
• Flexible and remote working options, with inspiring offices that provide space for collaboration and creativity.
• Robust professional and personal development programs, including learning resources and intentional growth pathways.
• Family‑friendly arrangements such as flexible working time models, childcare provision at many locations, the possibility of part‑time or sabbatical work.

Equal Opportunity Statement

We value equal opportunities and welcome applications from people with disabilities.

Job Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Information Technology
• Industries: Appliances, Electrical, and Electronics Manufacturing

#J-18808-Ljbffr