Join Siemens Energy as an Experienced AI Data Scientist to leverage cutting-edge AI technologies in transforming the energy sector. You will develop innovative data models and algorithms to enhance operational efficiency and support sustainable energy solutions.

Siemens Energy is at the forefront of the global energy transition, and we are seeking an Experienced AI Data Scientist to join our innovative team in Erlangen, Bavaria, Germany. In this role, you will apply advanced AI and machine learning techniques to solve complex challenges in energy production, distribution, and optimization. You will analyze large datasets from our operations to build predictive models that improve efficiency, reduce costs, and promote sustainability.

Key responsibilities include designing and implementing AI solutions, collaborating with engineers and domain experts to integrate models into real-world applications, and staying abreast of the latest advancements in AI to drive our R&D initiatives. You will contribute to projects involving renewable energy forecasting, predictive maintenance for turbines, and smart grid optimization, making a tangible impact on our mission to power a cleaner future.

If you are passionate about AI and excited to work on meaningful projects in a dynamic, international environment, this is your opportunity to grow with a leading energy technology company.

• Master's or PhD in Computer Science, Data Science, or a related field
• At least 5 years of experience in AI and machine learning, with a focus on data science applications
• Proficiency in Python, R, and frameworks like TensorFlow, PyTorch, or scikit-learn
• Strong experience with data processing, statistical analysis, and big data technologies (e.g., Hadoop, Spark)
• Knowledge of AI applications in energy or industrial sectors is a plus
• Excellent problem-solving skills and ability to work in agile teams
• Fluency in English; German language skills preferred

• Competitive salary and performance-based bonuses
• Comprehensive health insurance and wellness programs
• Flexible working hours and remote work options
• Professional development opportunities, including training and certifications
• Pension scheme and employee stock purchase plan
• Generous vacation policy and family support benefits
• Access to state-of-the-art facilities and collaborative work environment