Be part of our journey

As the digital innovation, design, and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. With a presence in over 20 countries and more than 60 offices worldwide, it comprises a strong team of over 13,000 strategists, data scientists, product and experience designers, brand experts, and technologists who develop new digital services, products, experiences, and business models for sustainable growth.

To strengthen our Intelligent Industry team, we are looking for an Intern in Data Science / Management Consulting (m/f/d) for a period of 6+ months

• Be the change: as the innovation and transformation powerhouse of Capgemini, you will support our clients through innovative strategy projects around digital, future-proof topics that challenge and transform the status quo.
• Dynamic atmosphere : we offer you entrepreneurial freedom and a collaborative atmosphere within a large company where your opinion is valued and will have a strong impact - on our clients, society, and yourself.
• Growth and development: career pathways are transparently communicated, and we offer you the chance to develop personally, such as through our onboarding training program “The Institute” or other tailored training programs within a global network of experts.
• Work-life balance: we safeguard work-life balance through a flexible office/home ratio, the possibility of taking a sabbatical, and our Capgemini well-being hub.
• Team spirit and community: our regular team and company events allow us to connect in an informal and personal way.
• Diversity: we believe that diversity is our greatest strength. Our long-standing corporate culture is open-minded and internationally oriented. We are all role models of empowerment, empathy, and respect.

Bring to life what's next

• Support the senior team in developing proof of concept (PoC) products, such as LLM Chatbots for Smart Industrial Application
• Assist in organizing design thinking workshops and develop customer journeys
• Conduct market research
• Help create content on Digital Engineering, Smart Products, Data Strategy, and Digital Transformation and track engagement metrics
• Support the senior team in organizing and structuring the deal pipeline and create convincing proposal decks

Your qualifications

• Academic excellence: Outstanding master’s degree in a renowned University in the field of Business or Technology
• Industry knowledge: Initial work experience in Innovation, Data Science and/or Digital Marketing through previous internships, with an understanding of Design Thinking and Value Proposition Design
• Consulting experience: Initial experiences in consulting and project management are preferred
• Conceptual talent: Rational thinking and the ability to combine technological understanding with strategic evaluation and implementation work, i.e., efficient linking of processes between business, strategy, and IT. A structured and hands-on work style, coupled with a fun approach to solving complex tasks. Commitment to self-responsibility regarding deadlines and an entrepreneurial mindset. Eagerness to learn and adapt in uncertain situations while managing multiple tasks simultaneously.
• Communication and presentation skills: Fluency in English (both written and spoken) is required. Proficiency in German or French (C1 level) is mandatory, along with strong presentation and communication skills.
• Digital affinity: Strong affinity and appreciation for Data Science and Digital Transformation, with proficiency in PowerPoint and other marketing software tools.
• Cultural fit: High reliability, team spirit, and personal alignment with the values of a leading global management consulting firm (international orientation and openness to travel; integrity).
• Duration of employment: Minimum of 6 months
• Work permit: Must possess a valid Swiss work permit.

Are you interested in becoming part of our team? We look forward to receiving your complete application exclusively via our application portal, stating your earliest possible start date and salary expectations.