Data scientist - process analytics & data intelligence expert

Data Scientist - Process Analytics & Data Intelligence Expert

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.

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

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
Experience 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.

Equal Employment Opportunity
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.

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