Trainee Data Science in Big Data & Advanced Analytics (m/f/diverse)

Are you passionate about Data Science and Artificial Intelligence (AI)? Do you want to learn how to build AI solutions that create real value for our company? Then you’re exactly where you need to be with us! To us, AI is no longer a vision of the future; it’s an essential part of our work. In our Data Science Trainee Program, you’ll have the opportunity to work on innovative projects and drive digitization and the integration of intelligent technologies in the financial sector. Completed Master’s degree (Data Science, Computer Science, Mathematics or similar)Basic understanding of machine learning methods and working with databasesPractical experience in exploratory data analysis and statistical modelingFamiliarity with the application of generative AI and initial experience with LLM-based agentsInitial experience in software development and programming skills in PythonInnovative mindset with the ability to quickly grasp challenges and creatively develop solutionsEnjoyment in working in agile and intercultural teams and advancing projects togetherFluent English and German language skills – at least B2 level As a Data Science Trainee in our Key Area Big Data & Advanced Analytics, the digital heartbeat of Commerzbank in Frankfurt, you’ll support experienced Data Scientists in analyzing and transforming complex data to generate valuable insights.You’ll train, test, and optimize AI models to enhance their efficiency.From the very beginning, you’ll participate in developing sustainable and tailored solutions that combine technological innovation with the entrepreneurial goals of the bank.You’ll formulate relevant questions and use cases based on specific requirements and create and evaluate predictive models for data-driven decision-making processes.With your programming experience, you’ll develop model training processes and integrate AI models into cloud infrastructures to ensure their scalability.During your trainee experience, you’ll learn to analyze complex data purposefully, implement AI models efficiently, and create innovative solutions that lead to sustainable results.Self-selected practical phases, a mentoring program, and opportunities for international assignments will support you in achieving this.