Knauf stands for opportunity. This exciting role offers you the ideal opportunity to begin and further develop an impressive career within a values-driven culture.
As a global building materials manufacturer with 42,500 employees in 90 countries, we offer diverse opportunities to ambitious talent. We value every contribution and are committed to creating a safe and inclusive work environment with the aim of developing sustainable solutions for a better future.
Knauf Information Services GmbH is proud to be a part of the Knauf Group. With a long-standing tradition, and a growing international presence, we are seeking dedicated individuals to help us achieve our long-term vision.
Can you say ‘yes’?
- Is respectful and appreciative interaction within the team a given for you?
- Do you always put the customer at the center of your actions?
- Do you consider the future and upcoming generations in your actions?
- Do you strive for personal and professional growth?
What you'll do
- Contribute to our data science products with end-to-end data science solutions including problem and metric definition, data collection, model building, validation, deployment, and monitoring to solve business problems.
- Ensure robust and scalable solutions through MLOps practices.
- Analyze large datasets (tabular, time series, texts) to extract actionable insights for data-driven decision-making and develop advanced statistical models, in collaboration with central functions (such as finance, HR, marketing, etc.).
- Leverage LLMs with prompting, RAG, and agentic patterns to enhance data science capabilities.
- Stay updated with advancements in data science, machine learning, and AI and integrate new techniques and tools into workflows.
Who you are
- Extensive experience in Python programming, with a strong focus on data manipulation (Pandas, PySpark), analysis (SciPy, scikit-learn), and machine learning modeling (scikit-learn, PyTorch, transformers).
- Skilled in visualization tools (Matplotlib, Tableau, Superset) and deployment frameworks (FastAPI, Flask, Langchain).
- Experienced in production-grade software development with DevOps tools (GitHub, CI/CD) on Azure platforms (Azure ML, MLFlow, Synapse).
- Strong knowledge of statistical modeling and data analysis, with a focus on time series, anomaly detection, or text processing.
- Expertise in text data, LLMs, RAG, and agentic AI; familiarity with SAP HANA, SAP SAC, and SAP Datasphere is a plus.
- Fluent in English (German or additional languages are a plus).
What we offer you
We all shape our lives individually. As an employer, we play a significant role in the daily life of our employees and aim to support them with various offerings. This includes:
- Security: Permanent employment contract in a stable, successful family-owned company.
- Flexibility: 30 days of vacation, special leave for certain occasions, flexitime account with a broad time window for flexible working and weekly home office days.
- Fitness and health: Discounts on various sports and leisure activities (e.g., fitness studio Iphofen, swimming training, soccer, etc.), as well as opportunities for active health promotion through our company doctor and occupational health and safety offers.
- Daily time savings: Ample parking and access to public transport (train, bus).
- Welcome approach: Individual onboarding days, company and team events.
- Career and professional development: Individual support and promotion for part-time studies, further education and training.
- Benefits and vouchers: Discounts on well-known brands and reduced-price employee purchases.
- E-Bike leasing: Using tax advantages while promoting your own health.
- Relocation support: Assistance with international relocation.
Knauf as an employer
Knauf Information Services GmbH, headquartered in Kitzingen, Germany, is a key driver of the KNAUF Group's global growth and digital transformation. A team of 500 highly qualified experts is committed to supporting the Group and its customers worldwide with innovative IT solutions and customized services. The core competencies of Knauf IT cover a wide range of IT services, including the development and implementation of complex software solutions, the optimization of business processes through digital technologies and ensuring IT security and data protection.
The Knauf Group is proud to be an equal opportunity employer. We are committed to a diverse and inclusive work environment, and we make all personnel decisions across all areas of our company based on experience, skills and integrity. We encourage applicants from all walks of life to apply for our positions, regardless of age, gender, gender identity, disability, sexual orientation, origin, religion and so forth.
Share our values and become part of the team to shape the future of Knauf together.