Tasks
•Technical responsibility for the development, productionisation and continuous improvement of advanced analytics, data science and AI solutions in the context of Operational Insights, from initial conception to operational use
•Development of high-quality, maintainable and production-ready code for analytics and machine learning solutions applying fundamental software development principles, e.g. modular design, automated tests, code reviews and technical documentation
•Implementation of analytics and machine learning models including deployment, monitoring and lifecycle concepts in a cloud environment, e.g. CI/CD, model versioning and performance monitoring
•Close collaboration with data science, data engineering, platform and Data Strategy & Management teams to integrate analytical solutions into existing system and operating landscapes
•Evaluation and further development of modern analytics, data science, AI and MLOps solutions as well as active promotion of AI use in data science use cases with a focus on sustainable operation and trends
Requirements
•Successfully completed degree in computer science, data science, mathematics, physics, industrial engineering or a comparable technical field
•At least 5 years of professional experience as a Data Scientist, AI Specialist or in a comparable role with a clear focus on the development, productionisation and operation of analytical solutions in a corporate or consulting environment
•Very good understanding of modern analytics & AI methods and corresponding system architectures, especially with regard to model serving, data and system dependencies, scalability, performance and sustainable operating concepts
•Solid practical experience in deploying and operating analytics and machine learning solutions, especially using cloud environments (e.g. MS Azure), CI/CD pipelines, MLOps approaches, monitoring and versioning
•Very good Python skills and solid experience in developing productive, maintainable and tested code, including modular software architecture, version control, automated tests, code reviews and technical documentation
•High technical independence, a structured way of working and experience in working with interdisciplinary teams as well as strong communication and presentation skills in German and English – combined with the motivation to actively drive data analytics and AI at TÜV SÜD
Conditions
•Location: Munich
•Flexible working hours: our flexible working hours allow you to adapt your working time to your personal needs
•Special payments: in addition to a market-rate salary, we offer attractive special payments such as a group success bonus or other performance-related salary components
•Occupational health management: our occupational health management includes, among other things, the EGym Wellpass, which gives you access to a wide range of fitness and health offers, as well as a company pension scheme that helps you provide for your future
