Data Scientist

Role overview

Responsibilities

• check_circle build and test components of agentic AI solutions, such as prompt templates, retrieval steps, tool integrations and simple agent workflows.
• check_circle write Python functions and API wrappers that allow agents to retrieve information or take controlled actions in other systems.
• check_circle contribute to experiments, prototypes and proof-of-concepts for new AI use cases.
• check_circle support evaluation by creating test cases, running experiments, reviewing outputs and helping identify failure modes such as hallucinations, missing context or incorrect tool use.
• check_circle work with data scientists, engineers and domain experts to understand business processes and convert them into practical AI workflows.
• check_circle continuously learn & implement modern AI engineering practices, including LLMs, RAG, agent frameworks, cloud platforms and responsible AI principles.

Basic qualifications

• a strong foundation in Python and a willingness to learn production-quality software engineering practices.
• basic understanding of APIs, data structures, version control and cloud or container concepts.
• Curiosity about LLMs, prompt engineering, RAG and agentic AI; hands-on experimentation is a strong plus.
• analytical thinking and the ability to break complex problems into smaller, testable steps.
• clear communication skills and enthusiasm for working in a multidisciplinary team.
• 1–2 years of relevant experience.

Benefits

• check_circle € 4852 to € 6755 gross per month (schaal 11).
• check_circle A 13th-month salary.
• check_circle We’ll give you an iPhone.
• check_circle Opportunities for professional and personal development. This includes a personal sustainable employability budget that can be used for pension contributions, financial advice, paid leave, training, (career) coaching, and wellbeing.
• check_circle An allowance when working from home of €3.00 net per day.

About the company