Data and AI consulting with in-house development and training
statworx is a Frankfurt-based data and AI consultancy built around three integrated offerings: strategy, custom development, and corporate training. The hiring mix is heavily skewed toward data (15 roles) versus engineering (4), reflecting a consulting-first model where data scientists drive client engagements rather than product velocity. Active adoption of OpenAI API, LangChain, and LangGraph alongside PyTorch and Spark signals a sharp pivot toward generative AI and retrieval-augmented systems.
statworx advises mid-market and enterprise organizations across Germany on data transformation and AI integration. The company operates three business lines: consulting on data strategy and AI maturity; in-house data science and ML engineering (using Azure, AWS, GCP, and open-source stacks); and structured training programs to build client data literacy. Typical engagement includes a discovery phase identifying pain points around cost optimization and data governance, followed by custom development of pipelines, analytics systems, or GenAI applications. The organization is tightly focused on measurable business outcomes and efficiency gains for clients.
Core platforms: Azure, AWS, GCP. ML/AI: PyTorch, OpenAI API, Hugging Face Transformers, LangChain. Data: Apache Spark, Kubernetes. Frontend: React, TypeScript, Figma. Also: Python, R, FastAPI, GitHub Copilot, RAG systems.
Yes. 15 active data roles (majority of 25 total openings). Seniority mix: senior-level leads most hires, with some mid and junior roles. Hiring only in Germany currently.
Generative AI system development, fine-tuning language models, retrieval-augmented chatbots, data literacy workshops, cloud solutions for ML projects, and helping clients implement data-driven culture and governance.
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