Requirements

Expected technologies

Python

Kubernetes

Docker

Git

Optional technologies

SQL

AWS

Our requirements

• fluent English (C1+)
• a degree (Master’s or higher) in a quantitative or technical field (e.g., Mathematics, Informatics, Natural Sciences, or Engineering)
• strong hands-on experience in programming; knowledge of Python and Kubernetes (K8s) is a plus
• experience working with NLP tasks and unstructured data
• familiarity with cloud platforms and tools that support scalable model deployment (e.g., MLOps, Docker, Git)
• sharp analytical and conceptual skills with a structured approach to problem-solving
• experience working in high-performance, cross-functional teams and fast-paced project environments
• proven ability to distil complexity and communicate insights clearly to both technical and non-technical audiences
• comfortable working at the interface of business, data, and technology
• a proactive mindset and willingness to take ownership from idea to implementation

Optional

• knowledge of German (B1+)
• experience working with Large Language Models and Generative AI in a business setting
• exposure to agile working methods and cross-functional product teams
• understanding of SQL, data pipelines, and basic software engineering principles
• certifications or formal training in AI/ML or cloud environments (e.g., Azure, AWS, Databricks)

Your responsibilities

• collaborating with business and tech teams to translate ideas into data- and AI-driven solutions
• developing and deploying machine learning and NLP models using modern tools and methods
• preparing structured and unstructured data for analysis and modelling
• creating visual and analytical outputs that support decision-making and tell compelling data stories
• contributing to internal initiatives to improve our data infrastructure, tools, and methods
• working in cross-functional, agile teams — and keeping stakeholders informed along the way