PRINCE2 Agile, SCRUM Master, PMP); SCRUM skills preferred Confident and solid communicator Very good knowledge of spoken and written German and English (at least B2 Level)Very good knowledge of MS Office products, particularly MS Visio or equivalent process modeling and process documentation tools Desirable: Knowledge of Artificial Intelligence (AI) tools Knowledge of SAP Knowledge of process optimization methods such as Lean Six Sigma Personal qualifications A very high level of enthusiasm and ability to work under pressureWillingness to take responsibility, target- and result-oriented approach to actionWillingness to collaborate with an international teamAnalytical skills and capacity for conceptual thinking, and the ability to think and act with a cross-organizational and cross-process approachMobility and flexibility in terms of time, and willingness to undertake business trips in Germany and abroad Your benefits We offer you excellent employee benefits, a competitive salary package and great development opportunities.
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. The Team Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA.