Expert-level knowledge of statistics and data analysis techniques, Strong professional experience with Python for machine learning and data wrangling, Advanced skills in T-SQL, DAX, and Power Query, Hands-on experience with Microsoft Power BI Service and/or Microsoft Fabric, Proven ability to design, build, and optimize machine learning models (predictive & prescriptive analytics), Experience in data mining, feature selection, and classifier optimization, Strong understanding of data modeling, data quality, and data governance best practices, Ability to translate complex analytical results into clear, actionable business insights, Strong ownership, autonomy, and accountability for delivered solutions, Experience working closely with business and technical stakeholders, Proven experience (minimum 2–3 years) in a similar Data Scientist or Analytics role, Academic degree in Science, Software Engineering, Mathematics, Statistics, or a related field, Fluency in English at C2 level or higher, Experience with Generative AI and automated self-reporting solutions, Knowledge of Deep Learning and Neural Networks, Experience in IT Service Management (ITIL Foundation certification or equivalent), Experience working in Lean-Agile environments (Scrum, SAFe), Familiarity with IT Ops, Incident, Problem, and Change Management analytics, Experience with Microsoft Power Platform and automation solutions, Exposure to MLOps, ML automation, or model lifecycle management, Experience with supplier performance analytics and CSI (Continual Service Improvement)

sharing the costs of sports activities, private medical care, flexible working time