Data Science & AI Strategy Intern

Capgemini; Opfikon; Hybrid; CHF 17,000 - 23,000; Full time

Benefits offered by this job

Mentoring

Career development

Diversity & inclusion

Modern offices

Job summary

Capgemini Invent is seeking an Intern in Data Science & AI in Switzerland to help build AI-powered products, copilots and decision-support tools. You will collaborate across data, AI, and business to transform data into actionable insights and scalable solutions, working with strategists, designers, engineers, and experts.

You will apply state-of-the-art AI technologies, contribute to prototyping, production deployment and adoption, and gain exposure to real client engagements and internal

Qualifications

• Currently enrolled in a Bachelor's or Master's programme in a data-related field with interest in AI & data science.
• Strong foundations in data, algorithms, and statistics relevant to AI projects.
• Experience or exposure to generative AI applications, software development, or data platforms is advantageous.
• Proactive about learning, with ability to collaborate across disciplines and communicate clearly.

Responsibilities

• Contribute to design, development, and scaling of AI solutions across the full lifecycle.
• Work with multidisciplinary teams to build AI-powered products and decision-support tools.
• Apply modern AI technologies to create practical, value-driving outcomes for clients.

Skills

English & German comms

Analytical thinking

Interdisciplinary collaboration

Education

Data Science/CS degree

Tools

Python

SQL

APIs

Cloud platforms

LLMs

Vector databases

AI frameworks

Job description

Capgemini Invent is seeking an Intern in Data Science & AI in Switzerland to help build AI-powered products, copilots and decision-support tools. You will collaborate across data, AI, and business to transform data into actionable insights and scalable solutions, working with strategists, designers, engineers, and experts.

You will apply state-of-the-art AI technologies, contribute to prototyping, production deployment and adoption, and gain exposure to real client engagements and internal