Together we do what matters.

Key Responsibilities

• Client Support: Assist in analyzing client challenges and contribute to defining solutions that create business value through data and AI.
• Research & Analysis: Gather and interpret data to support the development of data management, data strategy, and AI strategy roadmaps.
• Collaboration: Work with advisory and technical teams to understand architectures and help design future-proof solutions.
• Workshops & Presentations: Prepare and deliver workshops and presentations for different stakeholder groups.
• Content Development: Contribute to creating presentations, reports, and frameworks for client engagements.
• Continuous Learning: Stay up to date with trends in data and AI and share insights with the team.

Experience:

• Internship or academic projects in data analytics, AI, or related fields are a plus.
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Skills:

• Basic technical understanding of data management concepts, data and analytic platforms, and AI technologies.
• Familiarity with tools such as M365 Copilot, Copilot Studio, Power BI or Power Platform is an advantage.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Excellent language skills: German at C1 level or higher and strong proficiency in English (both written and spoken)

Education:

• Bachelor’s degree in Mathematics, Computer Science, Business, or related field (Master’s degree is a plus).

Mindset:

• Eagerness to learn and grow in a fast-paced environment.
• Proactive, detail-oriented, and collaborative approach.

Challenges You’ll Tackle:

• Supporting data and AI-enabled transformation projects for global organizations.
• Learning to balance strategic thinking with technical feasibility.
• Building confidence in client-facing interactions.

What’s in It for You?

• Impact: Contribute to projects that shape the future of data-driven business transformation.
• Learning: Access to mentorship, training programs, and certifications.
• Growth: Clear career path into advisory and consulting roles.
• Rewards: Competitive entry-level compensation and flexible work arrangements.