Data Scientist

About the Role

The Data Scientist at Lonza is a hands-on professional responsible for developing, deploying, and improving data science, machine learning, and AI solutions that solve business problems and create measurable value.

This role operates across the Azure/Fabric platform, combining data analysis, model development, deployment, and continuous improvement to create scalable and practical data science and AI solutions.

The Data Scientist works closely with business, technology, and data teams to ensure data science and AI capabilities are practical, secure, maintainable, and aligned to business priorities.

Key Responsibilities

• Develop and deliver end-to-end data science, machine learning, and AI solutions aligned to business needs.
• Design and build predictive, recommendation, forecasting, optimization, and decision-support systems that improve business performance, operational efficiency, and strategic decision-making.
• Develop and apply machine learning models to solve complex business problems and generate measurable outcomes across customer, commercial, and operational domains.
• Work with diverse data sources to create reliable, well-structured datasets that enable high-quality analytics and AI solutions.
• Design and execute feature engineering, model development, evaluation, and experimentation approaches to ensure robust, reliable, and high-performing models.
• Develop and deploy scalable machine learning and AI solutions on Azure, ensuring security, maintainability, and production readiness.

Skills & Qualifications

• Python programming language
• Statistical modelling and machine learning techniques
• Experience with Azure cloud platform and Azure Machine Learning services
• Knowledge of data visualization tools such as Power BI
• API development skills
• Experience with Git version control system
• Machine learning and statistical modelling skills (forecasting, classification, clustering, recommendation systems, optimization, experimentation)
• Generative AI / LLM applications (RAG and agent-based workflows)
• Enterprise data experience (e.g., CRM, ERP, operational data)
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field

What You'll Learn

As a Data Scientist at Lonza, you will have the opportunity to develop and deploy end-to-end data science, machine learning, and AI solutions that solve business problems and create measurable value.

You will learn to design and build predictive, recommendation, forecasting, optimization, and decision-support systems that improve business performance, operational efficiency, and strategic decision-making.

Additionally, you will gain experience with Azure cloud platform, Azure Machine Learning services, and data visualization tools such as Power BI.

Resume Tip

When applying for this role, be sure to highlight your experience with machine learning and statistical modelling techniques, as well as your knowledge of Azure cloud platform and Azure Machine Learning services.

Also, be prepared to provide specific examples of how you have applied machine learning and statistical modelling techniques to solve complex business problems in the past.

Finally, make sure to tailor your resume to the specific requirements of the job description, and use language from the job description to describe your skills and experience.