Data Scientist (m/w/d) Finance and Insurance - Freelance
Duration: 01.06-31.12.2026
Workload: Full-time
Location: Remote
Language: English
Role Description
- Design and architect new features for (agent-based) AI products, with a strong focus on technical implementation-ensuring solutions are clean, scalable, and modular, and selecting appropriate designs and architectural approaches
- Implement these features within existing and future (agent-based) AI products
- Refactor and transform code from existing codebases into reusable AI modules that can be leveraged across multiple products
- Develop and implement evaluation and testing frameworks for existing (agent-based) AI products to ensure reliable and stable performance
Required Qualifications
- Strong experience in Python programming, with at least 3 years of hands-on development
- Solid practical experience with Generative AI and agent-based AI in Python (ideally using frameworks such as pydantic-ai), with at least 1 year of hands-on experience (more is a plus)
- Proven experience developing complex end-to-end (Gen)AI applications, ideally within cross-functional teams, in a role such as Solution Engineer or AI Engineer
- A collaborative team player who can also work independently and proactively take ownership of tasks
- Excellent written and spoken English skills
Preferred Qualifications
- Theoretical understanding of key concepts in agent-based AI, including models, tools, reasoning, memory, and related approaches such as RAG, as well as protocols like MCP
- Experience in Data Science and Machine Learning
- Experience setting up and maintaining CI/CD pipelines (preferably using GitHub Actions)
- Experience working with Microsoft Azure
- Experience with Kubernetes, including deploying and managing workloads (e.g., deployments, jobs)
Deadline for applications: Thursday, 30.04.2026 at 12 pm.
