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Data Digital AI - Intern(m/w/x)
Developing and operationalizing AI governance frameworks for digital initiatives in pharmaceutical manufacturing. Master's degree in Computer Science, AI, Data Science, or related field required. Direct involvement in AI governance for critical pharmaceutical manufacturing.
Anforderungen
- Master’s degree (pursuing or completed) in Computer Science, Data Science, AI, Information Systems, Engineering, Business Analytics, or related field
- Basic understanding of AI/ML concepts
- Familiarity with data governance and responsible AI principles (plus)
- Strong analytical and structured thinking capability
- Ability to translate business problems into structured requirements
- Experience with Python, Power BI, SQL, or similar tools (plus)
- Strong communication and stakeholder management skills
- Structured and detail-oriented
- Ability to work independently and take ownership
- Curiosity about AI governance and enterprise AI transformation
- Comfort working in cross-functional, international environments
Aufgaben
- Support developing and operationalizing AI governance frameworks
- Define AI use case intake, review, and approval processes
- Help document AI model lifecycle standards
- Support AI risk, compliance, and responsible AI topics
- Help prepare governance materials for stakeholders
- Benchmark AI governance best practices
- Benchmark AI regulatory developments
- Collaborate with stakeholders to identify AI use cases
- Collaborate with stakeholders to refine AI use cases
- Conduct requirements gathering workshops
- Conduct stakeholder interviews
- Translate business needs into functional requirements
- Translate business needs into high-level technical requirements
- Support AI use case prioritization
- Help define KPIs, value metrics, and success criteria
- Create structured documentation
- Manage 1-2 AI initiatives end-to-end
- Coordinate with business and technical teams
- Track project progress, risks, and milestones
- Ensure alignment with governance standards
- Ensure alignment with enterprise architecture
- Support testing, validation, and user acceptance
- Help plan rollout and track value
- Present outcomes and lessons learned to leadership
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Power BI
- SQL
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Data Digital AI - Intern(m/w/x)
Developing and operationalizing AI governance frameworks for digital initiatives in pharmaceutical manufacturing. Master's degree in Computer Science, AI, Data Science, or related field required. Direct involvement in AI governance for critical pharmaceutical manufacturing.
Anforderungen
- Master’s degree (pursuing or completed) in Computer Science, Data Science, AI, Information Systems, Engineering, Business Analytics, or related field
- Basic understanding of AI/ML concepts
- Familiarity with data governance and responsible AI principles (plus)
- Strong analytical and structured thinking capability
- Ability to translate business problems into structured requirements
- Experience with Python, Power BI, SQL, or similar tools (plus)
- Strong communication and stakeholder management skills
- Structured and detail-oriented
- Ability to work independently and take ownership
- Curiosity about AI governance and enterprise AI transformation
- Comfort working in cross-functional, international environments
Aufgaben
- Support developing and operationalizing AI governance frameworks
- Define AI use case intake, review, and approval processes
- Help document AI model lifecycle standards
- Support AI risk, compliance, and responsible AI topics
- Help prepare governance materials for stakeholders
- Benchmark AI governance best practices
- Benchmark AI regulatory developments
- Collaborate with stakeholders to identify AI use cases
- Collaborate with stakeholders to refine AI use cases
- Conduct requirements gathering workshops
- Conduct stakeholder interviews
- Translate business needs into functional requirements
- Translate business needs into high-level technical requirements
- Support AI use case prioritization
- Help define KPIs, value metrics, and success criteria
- Create structured documentation
- Manage 1-2 AI initiatives end-to-end
- Coordinate with business and technical teams
- Track project progress, risks, and milestones
- Ensure alignment with governance standards
- Ensure alignment with enterprise architecture
- Support testing, validation, and user acceptance
- Help plan rollout and track value
- Present outcomes and lessons learned to leadership
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Power BI
- SQL
Über das Unternehmen
Lonza
Branche
Pharmaceuticals
Beschreibung
Lonza is a global leader in life sciences, committed to improving lives through innovative solutions and ethical practices.
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