(Junior) Data Scientist | (Junior) Data Scientist (m/w/d) AI Forge

CHECK24 Services Personal GmbH

München, Bayern, Deutschland
Published Feb 17, 2026
Full-time
Permanent

Job Summary

As a (Junior) Data Scientist at CHECK24 AI Forge, you will act as an in-house consultant, bridging the gap between data science and product implementation across over 50 comparison products. Your day-to-day responsibilities involve the end-to-end development of AI and Machine Learning solutions, from initial ideation to live deployment on websites and apps. You will build data pipelines, perform deep data analysis, and integrate cutting-edge Large Language Models (LLMs) and agentic systems into the CHECK24 ecosystem. This role is ideal for those who enjoy high ownership and direct collaboration with top management in a fast-paced, startup-like environment. The position is unique because it offers the opportunity to see your models impact over 20 million customers in real-time, supported by a culture of rapid decision-making and modern technical tooling. You will be part of a team that prioritizes data-driven innovation and offers a steep learning curve through internal coaching and professional development budgets.

Required Skills

Education

University degree in a scientific or technical field (e.g., Business Informatics, Computer Science, Physics, Mathematics).

Experience

  • Professional experience in Python-based data analysis and machine learning applications
  • Initial experience with Prompt Engineering, LLM integration, and AI agents
  • Practical experience in building and deploying ML/DL frameworks
  • Ideally initial experience in a consulting, start-up, or digital business environment
  • Experience in managing the full lifecycle of AI solutions from concept to go-live

Languages

German (Fluent)

Additional

  • Requires a hands-on mentality and analytical thinking skills. Role is based in a modern office environment with high-end equipment (MacBooks). Must be able to work on-site to participate in team-based events and collaborative decision-making.