What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
You assist the Head of Audit in building, operating, and continuously developing the internal audit system of the DKV MOBILITY GROUP.You advise business units on planning and implementing functional requirements as well as key IT projects, while maintaining the independence required for auditing. What makes you stand out You have a degree in computer science, information security, business informatics, or a comparable qualification.You have gained more than 5 years of practical experience in an IT environment (e.g., as IT manager, administrator, project lead, or responsible for implementing IT-related topics).You also have several years of experience in IT-related audits, preferably in an auditing firm, a bank, or a billing company.You possess knowledge of common IT and information security frameworks and/or requirements such as ITIL, Cobit, ISO 27001, BAIT, NIST, or BSI IT baseline protection, as well as SAP audit expertise, Microsoft Active Directory and Azure, Jira, and Apache.You communicate fluently in German and English, both spoken and written.Ideally, you already hold certifications such as CISA, CIA, CISM, or CISSP, or you are willing to obtain them with our support.You are willing to travel to DKV MOBILITY GROUP locations or to our outsourcing partners for on-site audits, demonstrate intercultural competence, and commit to continuous professional development.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.