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 Senior Data Scientist (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.
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