About the Role Location Spain Barcelona Barcelona Country: PORTUGAL Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy S.A. Organization EVP Global Functions Business Unit Digital Products and Solutions Full / Part time Full-time Experience Level Experienced Professional A Snapshot of Your Day As an Applied Data Science Engineer within the Scalable Core team, you will work at the intersection of data science, software engineering, and AI/ML/GenAI innovation. You'll design and implement intelligent, production-ready solutions for energy management by applying statistical models and building reusable, scalable components for our company-wide AI/ML/GenAI platform. Your contributions will directly enable energy management solutions across cloud, on-premises, and edge environments - supporting teams throughout Siemens Energy in delivering smarter, more efficient products. You'll be surrounded by technical experts in scalable systems, DevOps, MLOps, and AI, all collaborating to shape the future of energy through software. How You'll Make an Impact Apply statistical and machine learning techniques to energy and industrial data to create predictive and prescriptive models. Design reusable data science components for preprocessing, feature engineering, and statistical evaluation. Collaborate with MLOps engineers to operationalize models in robust, scalable ML pipelines. Contribute to experimentation workflows, model explainability, uncertainty quantification, and fairness evaluation. Support automatic model selection, tuning, and lifecycle monitoring across environments (cloud, on-prem, edge). Translate business and engineering requirements into data-driven solutions in collaboration with cross-functional teams. What You Bring Master's degree in Data Science, Computer Science, Applied Mathematics, or a related technical field. 5+ years of experience applying classical data science and statistical modeling to real-world problems. Strong programming skills in Python and hands-on experience with libraries such as pandas, scikit-learn, NumPy. Familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow) and experience with experimentation and model evaluation. Understanding of MLOps and experience with tools like MLflow, Airflow, or Kubeflow is a plus. Bonus: Knowledge of LLMs, GenAI architectures, or deployment of models to edge environments. About the Team The Scalable Core team drives the foundational technologies and developer platforms that empower scalable and intelligent energy management solutions across Siemens Energy. We build reusable backend services, AI/ML platforms, and lifecycle tools to support cloud, on-prem, and edge deployments. Our mission is to enable teams to deliver intelligent solutions faster and with higher quality - through automation, developer experience, and scalable software foundations. Whether it's through a streamlined Software Factory Console, advanced model lifecycle capabilities, or self-service deployment engines, we ensure that engineering teams can focus on solving energy challenges - not reinventing the wheel. Who is Siemens Energy? 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 Competitive compensation package Work-life balance: Flexible working time Flexible mobile working policy (hybrid) Local benefits such as meal allowance, flexible plan and much more Self-driven development framework with insights and resources to develop and grow on technical and soft skills. Continuous learning International and cross Business Units We value equal opportunities and welcome applications from people with disabilities. https://jobs.siemens-energy.com/jobs #LI-AB2