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Paid Internship
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Time Spent
Required Degree
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9Open Positions

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Data Digital AI - Intern

Lonza
Found 1 month ago
Location
Basel, Switzerland
Duration (Months)
4 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • AI governance
  • AI solution delivery
  • AI
  • ML
  • Python
  • Power BI
  • SQL

Soft Skills

  • Analytical
  • Structured thinking
  • Communication
  • Stakeholder management
  • Structured
  • Detail-oriented
  • Ability to work independently
  • Take ownership
  • Curiosity
  • Comfortable working in cross-functional and international environments

Job Description

We are looking for a high-potential Intern to join our IT Center of Excellence (CoE) Digital & Data team. This role sits at the intersection of AI governance, business engagement, and AI solution delivery. What you will do: AI & Data Governance (Framework & Implementation) * Support the development and operationalization of an AI governance framework (policies, standards, risk classification, lifecycle controls) * Assist in defining AI use case intake, review, and approval processes * Contribute to documentation of AI model lifecycle standards (development, validation, monitoring, retirement) * Support risk, compliance, and responsible AI topics (ethics, bias, explainability, security) * Help prepare governance materials for internal stakeholders and leadership reviews * Benchmark external best practices and regulatory developments related to AI governance Business Requirements & Use Case Development * Collaborate with business stakeholders to identify and refine AI use cases * Conduct structured requirements gathering workshops and stakeholder interviews * Translate business needs into functional and high-level technical requirements * Support use case prioritization based on value, feasibility, and risk * Assist in defining KPIs, value metrics, and success criteria * Create structured documentation (business case, requirements, user stories) End-to-End Ownership of 1–2 AI Use Cases * Take ownership of 1–2 AI initiatives from concept to implementation * Coordination between business stakeholders, data engineers, data scientists, and IT teams * Track progress, risks, and milestones * Ensure alignment with governance standards and enterprise architecture * Support testing, validation, and user acceptance * Contribute to rollout planning and value tracking * Present outcomes and lessons learned to Digital & Data leadership

Requirements

  • Currently pursuing or recently completed a Master’s degree in: Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, Business Analytics or a related field
  • Basic understanding of AI / ML concepts
  • Familiarity with data governance and responsible AI principles is a plus
  • Strong analytical and structured thinking capability
  • Ability to translate business problems into structured requirements
  • Experience with tools such as Python, Power BI, SQL, or similar is a 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
  • Comfortable working in cross-functional and international environments

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Familiarity with data governance and responsible AI principles
  • Experience with tools such as Python, Power BI, SQL, or similar
▶Apply Now

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