Junior) Data Scientist

Introduction:

At the company, we're transforming how the world's biggest brands understand their customers. As a (Junior) Data Scientist, you'll collaborate closely with Product Managers, Product Designers, and Software Engineers to build and evolve our AI-powered consumer insights platform. From developing agentic AI assistants and advanced analytics to creating innovative research tools usable by non-technical users — you'll be at the heart of scaling a sophisticated platform that puts automated, AI-powered insights into the hands of researchers and brands worldwide.

We are looking for a (Junior) Data Scientist who delivers production-grade results to high standards, who combines a passion for the latest AI technologies with the engineering discipline to ship them reliably, and who brings analytical and creative problem-solving to new challenges.

• You design and build agentic AI systems using frameworks like Pydantic AI, including tool registries, prompt engineering, grounding strategies, and orchestration of LLM-based workflows across multiple AI-powered products
• You closely collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and work with engineers to integrate AI and Data Science features into our platform
• You automate data analytics and insights visualizations that are applicable and interpretable by non-technical users, helping researchers and brand managers work with advanced methods without needing technical expertise
• You automate the application of advanced market research methods that are easy to use while being statistically and scientifically valid
• You build and ship machine learning models (supervised, unsupervised, LLM-based) end-to‑end — from prototyping and training to production deployment in our platform
• You contribute to our AI observability and evaluation practices, working with tools like Langfuse and inspect‑ai to monitor, trace, and continuously improve our AI systems in production
• You stay up‑to‑date with the latest advancements in AI, LLMs, and agentic architectures, incorporate them into your work, and proactively share insights and opportunities with colleagues

• You have a university degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Economics or a related relevant field
• You have at least one year of professional experience in Data Science and AI building production-grade products
• You have production-level experience building agentic AI systems or LLM-powered applications, including prompt engineering, tool-use patterns, retrieval‑augmented generation (RAG), or similar approaches
• You have strong programming skills in Python and proficiency with relevant frameworks and libraries (e.g., FastAPI, Pydantic/Pydantic AI, Pytest, Pandas, Num Py, scikit‑learn) as well as experience with LLM integration (Azure OpenAI, Anthropic, or similar providers)
• You have experience in the software industry including delivering high‑quality, scalable services via APIs to production
• You write clean, well‑tested, and maintainable code — you're comfortable working in a professional codebase with code reviews, automated testing (e.g., Pytest), and CI/CD practices
• You are an excellent and creative problem solver who is comfortable with ambiguity and change and who is curious to learn new tools, technologies, and domains
• You are fluent in English with excellent communication skills — including the ability to explain complex technical concepts to non-technical audiences and to work effectively in cross‑functional teams

• Familiarity with cloud-based infrastructure for software deployment (Kubernetes, Helm) and AI observability tooling (Langfuse, LLM tracing)
• Experi…