The Position Are you a passionate data enthusiast who loves to dive deep into complex problems and emerge with clear, actionable insights by application of methods of modern applied mathematics? Do you thrive in a collaborative environment where your work can make a real difference? If so, we have an exciting opportunity for you. Do you think it is time for a digital change by applying data driven advanced data analytical methods? Are you visionary and innovative and convinced that digitization can be boosted by advanced data analytics? Come on and join our journey Become a member of our Data Science Team in "Digitalization and Innovation" at L&I. The Senior Data Scientist will execute data science projects across the company with the purpose of solving non-routine business problems by applying advanced analytical methods including artificial intelligence, machine learning, causal inference, advanced statistics, natural language processing by comprehensive application of contemporary LLMs and other related techniques. This position can be filled in Ingelheim or Biberach. This position is part time eligible with 80%. Tasks & responsibilities - As the subject matter expert, you will analyze large complex manufacturing, quality, engineering and supply chain data sets to deliver Human Pharma business solutions. - You will model business requirements in analytics systems in cooperation with IT and meanwhile manage the prioritization and implementation of digital projects. - Global Project Management is your daily business: Herby you will drive and deliver digitalization projects globally together with HP Departments, IT, BI-X and external partners. - Within your new role, you will supervise and develop colleagues and scientists within the organization. - Furthermore, you will provide support for advanced analytics applications for HP sites globally to bring in the advantages of digitalization and innovation to the business. - As part of the Data Science Team, you will promote Digitalization within the whole Human Pharma Organization and towards internal and external customers, build up data-driven approaches, digital knowledge pool and network and support necessary change processes. Requirements - PhD or master's degree in mathematics, physics, computer science or comparable fields with several years of relevant work experience in data science and machine learning, experience in biotech/pharma/chemistry industry would be perfect - Proven expertise in Data Science, classical Statistics and Machine Learning with the common tool stacks in Python with profound experience with MLOps, IoT and LLMs/ RAG/ recommendation engine - Professional practice in handling large data volumes from various sources - Experience with relational, vector and non-SQL databases - Experience in the scientific supervision of young scientists and students is an advantage. - Profound Knowledge in scripting and programming languages, good modern software engineering practices, especially in the contemporary cloud computing concepts - Fluent in English and preferably in German Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: 49 (0) 6132 77-3330 or via mail: hr.deboehringer-ingelheim.com Recruitment process: Step 1: Online application - application deadline is April 16th, 2025. We reserve the right to take the posting offline beforehand. Applications up to April 2nd, 2025 are guaranteed to be considered. Step 2: Virtual meeting from the end of March Step 3: On-site interviews from the middle of April All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.