Within the Process Analytics & Data Intelligence (PADI) team, embedded directly in Operations , we develop production-ready analytics and models that help teams understand process behavior, improve performance, and make better decisions.

Our role is to transform operational data into actionable insight , used daily by MSAT, Process Development, Operations, and global teams to monitor processes, identify improvement opportunities, and support robust decision-making.

We are looking for a Data Scientist - Process Analytics & Data Intelligence Expert to design, build, and deploy advanced analytics that directly support operational excellence.

What You Will Do

• Develop and maintain advanced analytics models for operations, including multivariate data analysis (MVDA), statistical models, and predictive approaches .

• Build operational dashboards and analytical views that clearly communicate process performance, variability and risk.

• Analyze process trends, bottlenecks, and performance drivers across units, batches, and campaigns.

• Apply statistical and data science techniques to identify root causes, patterns, and improvement opportunities .

• Translate analytical insights into clear, actionable recommendations that can be applied by MSAT, Process Development, and Operations teams.

• Work closely with data engineering, MSAT, Process Development, and global data teams to ensure analytics are built on consistent, trusted, and well-contextualized data .

• Continuously improve analytics products based on operational feedback and evolving needs.

Who You Are

• You think in terms of process behavior, variability, and cause–effect relationships , not just models.

• You are comfortable moving between data, process understanding, and operational decision-making .

• You communicate complex analyses clearly and focus on what drives action.

• You take ownership from analysis to recommendation , not stopping at insight alone.

• You are comfortable working in operational and regulated environments .

What You Bring

• E xperience in data science, advanced analytics, or process analytics applied to operational data.

• Strong hands-on expertise in MVDA, statistical analysis, trend analysis, and predictive modeling .

• Practical experience using tools such as SIMCA , Seeq , Statistica , and Python (or equivalent analytics environments).

• Experience building dashboards and analytical tools used in day-to-day operations.

• Ability to work with time-series and contextualized process data .

• Solid understanding of process development, manufacturing, or operational workflows .

• Experience in biopharma, manufacturing, or other regulated environments is strongly preferred.

• Education: Degree in Engineering, Statistics, Data Science, or a related technical field preferred — equivalent operational analytics experience will be considered.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a significant difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.