PToday, 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. /ppThe actual location of this job is in Visp, Switzerland. Relocation assistance is available for eligible candidates and their families, if needed. /ppWithin 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. /ppOur role is to transformoperational data into actionable insight, used daily byMSAT, Process Development, Operations, and global teamstomonitorprocesses,identifyimprovement opportunities, and support robust decision-making. /ppWe are looking for a Data Scientist - Process Analytics Data Intelligence Expert to design, build, and deploy advanced analytics that directly support operational excellence. /ppbWhat You Will Do /b /plipDevelop andmaintainadvanced analytics modelsfor operations, includingmultivariate data analysis (MVDA), statistical models, and predictive approaches. /p /lilipBuild operational dashboards and analytical views that clearly communicate process performance,variabilityandrisk. /p /lilipAnalyze process trends,bottlenecks,and performance drivers across units,batches,and campaigns. /p /lilipApply statistical and data science techniques toidentifyroot causes, patterns, and improvement opportunities. /p /lilipTranslate analytical insights into clear, actionable recommendations that can be applied by MSAT, ProcessDevelopment,and Operations teams. /p /lilipWork closely with data engineering, MSAT, Process Development, and global data teams to ensure analytics are built onconsistent, trusted, and well-contextualized data. /p /lilipContinuously improve analytics products based on operational feedback and evolving needs. /p /lipbWho You Are /b /plipYou think in terms ofprocess behavior, variability, and cause–effect relationships, not just models. /p /lilipYou are comfortable moving betweendata, process understanding, and operational decision-making. /p /lilipYou communicate complex analyses clearly and focus on what drives action. /p /lilipYou take ownership fromanalysis to recommendation, not stopping at insight alone. /p /lilipYou are comfortable working inoperational and regulated environments. /p /lipbWhat You Bring /b /plipExperience in data science, advanced analytics, or process analytics applied to operational data. /p /lilipStrong hands-onexpertiseinMVDA, statistical analysis, trend analysis, and predictive modeling. /p /lilipPractical experience using tools such asSIMCA,Seeq,Statistica, andPython(or equivalent analytics environments). /p /lilipExperience buildingdashboards and analytical toolsused in day-to-day operations. /p /lilipAbility to work withtime-series and contextualized process data. /p /lilipSolid understanding ofprocess development, manufacturing, or operational workflows. /p /lilipExperience inbiopharma, manufacturing, or other regulated environmentsis strongly preferred. /p /lilipEducation:Degree in Engineering, Statistics, Data Science, or a related technical field preferred — equivalent operational analytics experience will be considered. /p /lipEvery 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. /ppPeople 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. /ppLonza 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. /p Reference: R73366