Process Safety Data Analytics Intern (6 mo, Flexible)

Givaudan; Kemptthal; Vor Ort; CHF 17.000 - 28.000; Teilzeit

Benefits dieser Stelle

40 hour working week

Flexible working model

Additional paid days off

Staff restaurant meals discount

Free staff parking

Subsidized travelcard (SBB)

Zusammenfassung

Givaudan is offering a Process Safety Data Analyst Intern (m/w/d) position based in Kemptthal, near Zurich. You will gain hands-on experience in data analysis and model documentation while collaborating with our safety lab and data science teams.

The 6-month, 60% internship invites students pursuing or who recently completed a bachelor’s or master's in chemical engineering, data science or related fields, with fluency in German and English, to contribute to implementing methods, building

Qualifikationen

• Pursuing or recently completed a bachelor’s or master’s degree in chemical engineering, Data Science, or related field.
• Proficiency in contemporary data analysis techniques and strong analytical skills.
• Basic knowledge of organic chemistry.
• Experience in various programming environments.

Aufgaben

• Implement existing data analysis methods in a new software environment.
• Build a consistent setup for current and future workflows.
• Explore opportunities in the new software environment to leverage low hanging fruits.
• Collaborate with cross-functional teams to ensure alignment and integration of safety assessments.

Kenntnisse

Data analysis techniques

Analytical skills

Programming environments

German language

English language

Proactive mindset

Ausbildung

Bachelor's or Master's in chemical engineering, Data Science, or related field

Jobbeschreibung

Givaudan is offering a Process Safety Data Analyst Intern (m/w/d) position based in Kemptthal, near Zurich. You will gain hands-on experience in data analysis and model documentation while collaborating with our safety lab and data science teams.

The 6-month, 60% internship invites students pursuing or who recently completed a bachelor’s or master's in chemical engineering, data science or related fields, with fluency in German and English, to contribute to implementing methods, building