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Data Scientist - Process Analytics & Data Intelligence Expert
Posted: 18.05.2026 • Job reference: bd8bfd2bdc5da7b09029bc157646cfe1
Job Information
Location: Visp, Switzerland (Relocation assistance available).
Employer: Lonza.
Responsibilities
- 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 for 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.
Qualifications
- 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).
Why Work With Us
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.
Reference: R73366 • Location: TN Switzerland – Canton of Lucerne, Switzerland
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