(Senior) Data Scientist

Boehringer Ingelheim; Biberach an der Riß; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Boehringer Ingelheim is seeking a Senior Data Scientist to execute data science projects across the company, applying advanced analytics, AI technologies, and LLMs. The role focuses on solving non-routine business problems with data-driven insights and collaborating with IT, HP departments, and external partners.

This position can be filled in Ingelheim or Biberach. The ideal candidate has PhD or master's in a quantitative field, extensive ML experience, and fluency in English (German

Qualifikationen

• PhD or master's in mathematics, physics, computer science or comparable fields.
• Several years of data science and ML experience; biotech/pharma industry is a plus.
• Proven Data Science, Statistics and ML expertise with Python; MLOps, IoT, LLMs/RAG/ recommender systems.
• Hands-on with large data volumes from diverse sources; relational, vector and non-SQL databases.
• Experience with Agentic AI and Generative AI, LLM-based applications and orchestration frameworks.
• Strong transformer knowledge and modern software engineering practices; cloud familiarity.
• Fluent in English; German preferred.

Aufgaben

• Analyze large manufacturing, quality, engineering and supply chain data to enable business solutions.
• Model business requirements in analytics systems and manage digital project prioritization and implementation.
• Drive global project management for digitalization with HP Departments, IT, BI-X and partners.
• Support advanced analytics applications at HP sites to leverage digitalization for business advantage.
• Promote digitalization within Human Pharma and build data-driven approaches and networks.

Kenntnisse

Data Science

Statistics

Machine Learning

Python

MLOps

LLMs / RAG

Generative AI

AI governance

Cloud computing

Problem solving

Ausbildung

PhD or Master in Math/Physics/CS

Tools

Python

Vector databases

Relational databases

Non-SQL databases

Jobbeschreibung

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! 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, and natural language processing by comprehensive application of contemporary LLMs and other related techniques. This Position can be filled in Ingelheim or Biberach. This position can be filled either as Data Scientist or Senior Data Scientist.

Tasks & Responsibilities

• In your new role, you analyze large complex manufacturing, quality, engineering, and supply chain data sets to deliver Human Pharma business solutions.
• You 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 drive and deliver digitalization projects globally together with HP Departments, IT, BI-X, and external partners.
• Furthermore, you 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 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.

Additional tasks for Senior Data Scientist

• You lead complex global data science and AI initiatives, acting as a subject matter expert and strategic partner for business stakeholders.
• Mentor and develop Data Scientists while driving best practices, technical excellence, and adoption of emerging AI technologies across the organization.

Requirements

• PhD or master’s degree in mathematics, physics, computer science or comparable fields
• 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, Statistics and Machine Learning with the common tool stacks in Python. 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
• Hands-on experience in the development and operationalization of Agentic AI and Generative AI solutions, including LLM-based applications, autonomous AI agents, and orchestration frameworks
• In-depth knowledge of transformer architecture and their practical application in modern Generative AI and large language model solutions
• Profound Knowledge in scripting and programming languages, good modern software engineering practices, especially in the contemporary cloud computing concepts
• Strong self-learning mindset and intrinsic motivation to tackle challenges independently, leveraging creative and structured problem-solving approaches to deliver impactful results
• Fluent in English and preferably in German

Additional requirements for Senior Data Scientist

• High expertise in change management demonstrated through several projects that involved a high degree of business transformation
• High level of expertise in relevant methods and skills such as machine learning, advanced statistics, generative and agentic AI, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modelling, etc
• Experience in the scientific supervision of young scientists and students is an advantage

Start date: asap

Apply until: 07.09.2026

Our Company

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com