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Internship/Thesis for PI SYM and SEEQ for Data Analysis(m/w/x)
Optimizing alarm settings through multi-year dataset analysis from PISym and ServiceNOW at a global healthcare company. SEEQ experience a significant plus, Python scripting proficiency expected. Flexible hours, flexible start, and mentorship provided.
Anforderungen
- Pursuing a degree in a relevant field or degree pursued not longer than 12 months prior to start date
- Strong analytical and statistical skills
- Familiarity with data analysis tools; experience with SEEQ is a significant plus
- Proficiency in scripting or programming, ideally Python
- Ability to work independently and understand complex data and system relationships
- Proficiency in written and verbal English; German language skills advantageous
Aufgaben
- Analyze multi-year dataset from PISym and related ServiceNOW tickets
- Identify critical alarms and assess current alarm thresholds
- Propose optimized alarm settings to reduce noise
- Demonstrate success of optimization proposals using trending and reporting
- Statistically evaluate and perform trend analysis on PISym data
- Identify the top 10 recurring alarms or deviations
- Utilize SEEQ for advanced analytics and Python integration
- Simulate impact of alternative threshold values on alarms
- Review ServiceNOW tickets to understand business impact of alarms
- Compare optimization performance using classical and AI-driven methods
- Create automated monthly reports to monitor system performance
- Develop automated optimization proposals for alarm limits and delay times
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – ist ein Plus
Tools & Technologien
- Python
- SEEQ
Benefits
Flexibles Arbeiten
- Flexible working hours
- Flexible start of the internship or thesis
Mentoring & Coaching
- Mentorship and professional guidance
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Internship/Thesis for PI SYM and SEEQ for Data Analysis(m/w/x)
Optimizing alarm settings through multi-year dataset analysis from PISym and ServiceNOW at a global healthcare company. SEEQ experience a significant plus, Python scripting proficiency expected. Flexible hours, flexible start, and mentorship provided.
Anforderungen
- Pursuing a degree in a relevant field or degree pursued not longer than 12 months prior to start date
- Strong analytical and statistical skills
- Familiarity with data analysis tools; experience with SEEQ is a significant plus
- Proficiency in scripting or programming, ideally Python
- Ability to work independently and understand complex data and system relationships
- Proficiency in written and verbal English; German language skills advantageous
Aufgaben
- Analyze multi-year dataset from PISym and related ServiceNOW tickets
- Identify critical alarms and assess current alarm thresholds
- Propose optimized alarm settings to reduce noise
- Demonstrate success of optimization proposals using trending and reporting
- Statistically evaluate and perform trend analysis on PISym data
- Identify the top 10 recurring alarms or deviations
- Utilize SEEQ for advanced analytics and Python integration
- Simulate impact of alternative threshold values on alarms
- Review ServiceNOW tickets to understand business impact of alarms
- Compare optimization performance using classical and AI-driven methods
- Create automated monthly reports to monitor system performance
- Develop automated optimization proposals for alarm limits and delay times
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – ist ein Plus
Tools & Technologien
- Python
- SEEQ
Benefits
Flexibles Arbeiten
- Flexible working hours
- Flexible start of the internship or thesis
Mentoring & Coaching
- Mentorship and professional guidance
Über das Unternehmen
1201 F. Hoffmann-La Roche AG
Branche
Healthcare
Beschreibung
Roche is dedicated to advancing science and ensuring access to healthcare for everyone, with over 100,000 employees globally.
Noch nicht perfekt?
- 1201 F. Hoffmann-La Roche AG
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