Job Description

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is dedicated people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

T he actual location of this job is in Visp, Switzerland Relocation assistance is available for eligible candidates and their families, if needed.

Within theProcess Analytics & Data Intelligence (PADI)team, embedded directly inOperations, we developproduction-ready analytics and modelsthat help teams understand process behavior, improveperformance,and make better decisions.

Our role is to transformoperational data into actionable insight, used daily byMSAT, Process Development, Operations, and global teamstomonitorprocesses,identifyimprovement 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 andmaintainadvanced analytics modelsfor operations, includingmultivariate data analysis (MVDA), statistical models, and predictive approaches

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

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

• Apply statistical and data science techniques toidentifyroot causes, patterns, and improvement opportunities

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

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

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

Who You Are

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

• You are comfortable moving betweendata, process understanding, and operational decision-making

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

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

• You are comfortable working inoperational and regulated environments

What You Bring

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

• Strong hands-onexpertiseinMVDA, statistical analysis, trend analysis, and predictive modeling

• Practical experience using tools such asSIMCA,Seeq,Statistica, andPython(or equivalent analytics environments).

• Experience buildingdashboards and analytical toolsused in day-to-day operations.

• Ability to work withtime-series and contextualized process data

• Solid understanding ofprocess development, manufacturing, or operational workflows

• Experience inbiopharma, manufacturing, or other regulated environmentsis 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.