Senior Data Scientist (f/m/d)

29 countries. Around 49,000 colleagues. 70,000 pharmacies supplied and millions of patients: Join PHOENIX! Support us in supplying the people of Europe with medicines and healthcare products quickly and reliably - and experience a job that is as diverse as it is important. Where you can proactively master challenges, implement ideas and drive change. Look forward to pure variety at a successful, future-proof family company, the market-leading pharmaceutical wholesaler in Germany and at the same time the best integrated healthcare provider in Europe.

PHOENIX International Holdings GmbH is looking for a Digital Architect (f/m/d) to join our international IT & Digital organization at our headquarters in Mannheim.

Your Tasks

• Design, develop, and deploy machine learning, predictive analytics, optimization, and generative and agentic AI solutions that address complex business challenges.
• Lead the development of end-to-end AI products, from problem definition and experimentation to production deployment and monitoring.
• Build solutions using Python, Pyspark, Databricks, Microsoft Azure and best practices in CI/CD and MLOps.
• Collaborate with cross-functional teams and business stakeholders to identify opportunities for data-driven decision making and AI adoption.
• Ensure model quality, reliability, explainability, and compliance with organizational standards and governance requirements.
• Mentor junior data scientists and contribute to the continuous development of the AI Factory's capabilities and standards.
• Evaluate and adopt new AI technologies, trends, frameworks, and development approaches to continuously improve the organization's AI capabilities.

Your Profile

• Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
• Several years of practical experience in design, development and deployment of data science solutions in production environments
• Strong proficiency in Python and experience with modern data science ecosystems, machine learning frameworks, and distributed data processing technologies.
• Experience with cloud-based AI development, preferably on Microsoft Azure, including software engineering practices like APIs, version control, CI/CD and DevOps
• Strong expertise in statistical modelling and machine learning, with relevant experience in Generative and Agentic AI.
• Strong collaboration and communication skills, with experience in agile, cross-functional teams and the ability to translate complex technical concepts for technical and non-technical audiences.
• Experience in healthcare, supply chain, logistics, or pricing domains is beneficial but not required.
• Professional proficiency in English is required. German is a plus.