Data Scientist - Process Analytics & Data Intelligence Expert

ppToday, 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 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. /ppOur 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. /ppWe are looking for a Data Scientist - Process Analytics Data Intelligence Expert to design, build, and deploy advanced analytics that directly support operational excellence. /ph3What You Will Do /h3ullipDevelop and maintain advanced analytics models for operations, including multivariate data analysis (MVDA), statistical models, and predictive approaches . /p /li /ulullipBuild operational dashboards and analytical views that clearly communicate process performance, variability and risk. /p /li /ulullipAnalyze process trends, bottlenecks, and performance drivers across units, batches, and campaigns. /p /li /ulullipApply statistical and data science techniques to identify root causes, patterns, and improvement opportunities . /p /li /ulullipTranslate analytical insights into clear, actionable recommendations that can be applied by MSAT, Process Development, and Operations teams. /p /li /ulullipWork closely with data engineering, MSAT, Process Development, and global data teams to ensure analytics are built on consistent, trusted, and well-contextualized data . /p /li /ulullipContinuously improve analytics products based on operational feedback and evolving needs. /p /li /ulh3Who You Are /h3ullipYou think in terms of process behavior, variability, and cause–effect relationships , not just models. /p /li /ulullipYou are comfortable moving between data, process understanding, and operational decision-making . /p /li /ulullipYou communicate complex analyses clearly and focus on what drives action. /p /li /ulullipYou take ownership from analysis to recommendation , not stopping at insight alone. /p /li /ulullipYou are comfortable working in operational and regulated environments . /p /li /ulh3What You Bring /h3ullipE xperience in data science, advanced analytics, or process analytics applied to operational data. /p /li /ulullipStrong hands-on expertise in MVDA, statistical analysis, trend analysis, and predictive modeling . /p /li /ulullipPractical experience using tools such as SIMCA , Seeq , Statistica , and Python (or equivalent analytics environments). /p /li /ulullipExperience building dashboards and analytical tools used in day-to-day operations. /p /li /ulullipAbility to work with time-series and contextualized process data . /p /li /ulullipSolid understanding of process development, manufacturing, or operational workflows . /p /li /ulullipExperience in biopharma, manufacturing, or other regulated environments is strongly preferred. /p /li /ulullipEducation: Degree in Engineering, Statistics, Data Science, or a related technical field preferred — equivalent operational analytics experience will be considered. /p /li /ulpEvery 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 /p #J-18808-Ljbffr