INTERNSHIP DETAILS
AI Hackathon with OMMAX and Burda
CompanyOMMAX GmbH
LocationMunich
Work ModeOn Site
PostedOctober 12, 2026

Internship Information
Core Responsibilities
Participants will work individually or in teams to develop AI solutions for real-life business challenges provided by Hubert Burda Media. They will present their findings and proposed solutions to a jury of experts from OMMAX and Burda.
Internship Type
intern / student
Company Size
382
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
OMMAX is a leading AI-first consultancy and AI-engineering platform specializing in AI strategy, business transformation, transaction advisory, and value creation in the age of AI. Founded in Munich in 2011, OMMAX serves large corporates, mid-sized companies, and private equity firms across Europe and the US, with more than 4,000 completed projects and a Net Promoter Score of 90.
About the Role
What we look for:
Students and graduates based in Munich or the surrounding area who are curious about AI and keen to tackle real business challenges with technology. We welcome applicants studying Computer Science, Informatics, Data Science, AI/ML, or a related field. You don’t need to be an expert coder, and you can apply individually—teams can be formed on the day.We’re looking for people who are excited to exchange ideas with us, meet our team, and learn more about what we do. You’ll also get the chance to contribute your ideas to real-life customer challenges and help shape solutions to cases we work on with our clients.
What we require:
- You are studying or have graduated in Computer Science, Informatics, Data Science, AI/ML, or a related field.
- You are interested in AI and how technology can solve real business challenges.
- You bring your ideas, perspective, and willingness to explore.
- An interest in AI and familiarity with agentic systems are helpful. You do not need to be an expert coder.
- You are based in Munich or the surrounding area.
What you can expect:
Date and time: November 20, 2026, 9:00 AM–6:00 PMLocation: OMMAX HQ, Kaulbachstr. 4, 80539 Munich
Application deadline: November 12, 2026
- A real business challenge and datasets provided by Hubert Burda Media.
- The opportunity to work individually or as part of a team to develop an AI solution and present it to a jury of OMMAX and Burda experts.
- An exploration of potential AI applications in portfolio strategy, editorial relevance, consumer orientation, commercial potential, data availability, and reputational risk.
- Insights and hands-on guidance from the OMMAX and Burda AI teams, including Lutz Finger, Chief AI Officer at OMMAX, and Alexandre Davin, Director Technology & Digital Transformation at Burda.
- Networking over food and drinks, conversations with both teams and fellow participants, and the chance to learn about potential career opportunities at OMMAX.
About us
OMMAX – Building Digital Leaders is a digital strategy consultancy based in Europe, specializing in sustainable digital value creation in over 50 countries, while catering to an array of mid-sized companies, large enterprises, and >50 private equity firms around the world. Composed of >400 international experts and with >2.000 realized projects in the fields of digital strategy, digital operational excellence, data science, and transaction advisory services, OMMAX is a front-runner regarding holistic data-driven strategy consulting and end-to-end execution of digital solutions.Key Skills
Artificial IntelligenceMachine LearningData ScienceInformaticsComputer ScienceAgentic systemsProblem solvingTeamworkPresentation skillsStrategic thinkingData analysis
Categories
Data & AnalyticsTechnologyConsultingSoftwareScience & Research
Benefits
Networking opportunitiesFood and drinksCareer development insights
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I am excited to apply for the AI Hackathon with OMMAX and Burda position. With my experience in Artificial Intelligence and Machine Learning...
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0-2 AI Hackathon with OMMAX and Burda
Interview Prep Plan
1
Week 1:Technical Foundations2
Week 2:Artificial Intelligence3
Week 3:System Design