Akkodis

Akkodis is a global leader in technology and engineering solutions. Technology is our passion - from digitization and automation to artificial intelligence and cyber security. Our goal is to deliver innovations that are technologically advanced, environmentally friendly, and socially responsible for future generations.

The history of Akkodis: Key milestones

  • 1996: Establishment of Mercedes-Benz Engineering s.r.o. in Prague.
  • 2018: AKKA becomes the sole owner of MBtech Group.
  • 2022: Merger of AKKA and Modis - formation of Akkodis.

Akkodis in the world

We are part of the Swiss Adecco Group, operating in over 30 countries and connecting more than 50,000 experts. In the Czech Republic, we have development centers in Prague, Pilsen, Mladá Boleslav and České Budějovice. 

What we do

Akkodis is the largest independent engineering company in the Czech Republic. We offer services in the following areas:

  • Design & Mechanical Engineering – Design and development of mechanical systems.
  • Computation & Simulation – FEM, CFD, and other simulations.
  • Electrics & Electronics – Embedded systems, cabling development, industrial automation.
  • Validation & Testing – Test systems (HiL, SiL), test automation, driving tests.
  • Digital & Software Development – Embedded software, DevOps, business applications, digital strategies.
  • Data Analytics & AI – Data analyses, cognitive computing, data platforms.
  • Cloud, Infrastructure & Security – Cloud solutions, cyber security, multi-cloud infrastructures.
  • Wireless & Connectivity – IoT, 5G, and connected technologies.

Industries in which we operate

The automotive sector, energy industry, information technology and communications, financial services, manufacturing, healthcare, and telecommunications.

Current offer of internships
from Akkodis

Internship in the Digitalization Team

Available
Department: 
Digitalization
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Number of vacancies: 
2
Time period: 
1. 9. 2025 - 31. 1. 2026
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Contact person: 
zc.ucz.keftest@kisoripk
Location: 
Plzeň

Internship in the Digitalization Team – Key Areas: Software Development (Python), AI Integration, with an Overlap into Project Management and Corporate Processes.

  • AI Developer – Chatbots & NLP | AI & Digitalization | Development of AI chatbots, NLP, RAG models, and integration into corporate applications.
  • Data Analyst – AI & BI | Business Intelligence | Creating reports in Power BI, working with corporate data, and AI analytics.
  • Automation Specialist (AI & Data) | Process Optimization | Automating corporate processes, analysis, and implementation of AI predictions.

Interns will be involved in the Digitalization & AI team and work on real corporate projects that are implemented into enterprise systems.

AKKODIS does not provide accommodation or a predefined financial remuneration. However, we actively involve students in real-world projects. If an intern contributes to business projects, a DPČ (Agreement on Work Performance) can be arranged with financial compensation. We frequently collaborate with students beyond the internship, offering opportunities for long-term cooperation and professional growth.

Added value of the program

What do interns gain?

·        Hands-on experience with AI & Data Science in a corporate environment.

·        Deployment of programmable AI solutions in business practice.

·        Insights into business management (controlling, HR) through AI-driven analysis.

·        Real projects for their portfolio, useful for future job opportunities.

What are the requirements for applicants?

  • Mathematical literacy (high school level, basic university knowledge is an advantage).
  • Basic programming skills in Python (deep understanding of ML is not required, but willingness to learn is essential).
  • Ability to work with data and visualize it (Power BI or Excel as a foundation).
  • Interest in AI, automation, and business processes (detailed knowledge is not necessary, but enthusiasm is key).
  • Language skills: Czech or German for basic communication, English for technical documentation and international collaboration.
  • Applicants don’t need to be experts, but they should be eager to learn and apply AI in a corporate setting.