Job Description

You'll make an impact byYou actively support the conceptualization and execution of advanced analytics and artificial intelligence projects, bringing your innovative perspectives into the teamBy collaborating closely with colleagues, you extract, validate, and transform data using cloud-native platforms like Snowflake and Azure, ensuring data quality and accessibilityLeveraging your technical know-how, you assist in developing and maintaining data pipelines in cloud environments and contribute to applying machine learning algorithms with Python and relevant frameworksFurthermore, you help create interactive dashboards and reports, translating complex analytics into actionable insights for stakeholdersThroughout your tasks, you participate in workshops and help prepare training materials on emerging AI/ML technologies, fostering knowledge sharing within the organizationThis is how you'll win us overEducation: You are currently successfully studying business informatics, statistics, mathematics, physics, data science, engineering, or a similar fieldExperience and Skills:You have practical experience in analytics, data science, software development, or related areas through internships, academic projects, or researchYou demonstrate proficiency in Python (pandas, numpy, scikit-learn), SQL, and have hands-on experience with cloud data platforms such as Snowflake, Azure, or AWSYou are familiar with machine learning algorithms, model evaluation and deployment, version control (Git), and collaborative development workflowsWays of Working: You are eager to learn, think analytically, and communicate complex technical concepts to non-technical stakeholdersLanguages: You have excellent English skills (minimum C1 level); German is an advantageYou are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.