Data Scientist
At Boehringer Ingelheim, we believe that Data Science and AI are foundational to transforming healthcare and improving the lives of patients and animals worldwide. As a key member of the IT Marketing & Sales – Enable Healthcare Technology & Solutions team, you will join a passionate community of experts committed to advancing data-driven decision-making, accelerating innovation, and embedding AI into the core of our global commercial and medical ecosystems.
Your work will directly empower business partners to optimize patient journeys, elevate commercial effectiveness, and unlock new insights at scale.
We are looking for a Data Scientist with deep hands-on expertise in modern ML/AI development and strong data engineering capabilities. In this role, you will lead the design, development, and industrialization of high-impact data science solutions across global initiatives.
You will translate complex business challenges into robust analytical approaches, guide the development of scalable ML pipelines, and ensure the sustainable operation of data-driven products — from experimentation to deployment.
Collaboration is essential: you will partner with market development leads, commercial teams, and engineering colleagues to build a cohesive, reusable ecosystem of data science capabilities across IT M&S EHTS.
Tasks and responsibilities:
- Lead the design and development of advanced analytical models (ML, predictive modeling, optimization, NLP, generative AI).
- Own the full model lifecycle: experimentation, validation, deployment, monitoring, continuous improvement.
- Drive adoption of modern MLOps best practices.
- Design robust data pipelines for training and inference.
- Work with Kubernetes/OpenShift (preferably EDP) to operationalize models.
- Leverage SQL/NoSQL databases to optimize data assets.
- Translate stakeholder needs into analytical opportunities.
- Collaborate with software engineers and architects to integrate ML into end-to-end solutions.
- Contribute to internal expert groups and mentor junior team members.
- Promote best practices for modeling, coding, and quality.
Requirements
- Degree in Data Science, Computer Science, Engineering, AI, or similar.
- Proven experience in end-to-end ML development.
- Strong Python skills (NumPy, Pandas, Scikit-learn, FastAPI, Streamlit).
- Experience with CI/CD, DevOps/MLOps, Docker, Helm, Kubernetes/OpenShift.
- Strong SQL/NoSQL experience.
- Familiarity with monitoring/logging for ML Ops.
- Excellent project management and communication skills.
- Business knowledge (ideal, but not mandatory):
- Structure of healthcare systems (hospital → specialist → GP → payer)
- Roles of healthcare professionals: physicians, nurses, pharmacists
- How care pathways and patient journeys function
- How health systems differ across markets (US vs EU vs JP)
- Understanding of HCS partnerships, local health systems, and the complexities of integrating digital tool
Why This Role Matters
This is a strategic, high-impact position that will shape how IT M&S uses data and AI across the global organization. You will help lay the foundation for future capabilities, accelerate analytics maturity, and bring cutting-edge data science methods into daily operations.
#IamBoehringerIngelheim because…
We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:
- Flexible working conditions
- Life and accident insurance
- Health insurance at a competitive price
- Investment in your learning and development
- Gym membership discounts
If you have read this far, what are you waiting for to apply? We want to know more about you!