About Apeiron Insight

Apeiron Insight is a fast-growing data and analytics firm based in the Netherlands. We deliver proprietary datasets insights to leading investment funds, helping them stay ahead in a highly competitive public equity markets. Our team of professionals spans engineering, data analysis, and client success—working together to transform data into actionable market intelligence.
We work at the intersection of data, technology, and financial markets—and our clients rely on us to turn raw data into strategic advantage.

Your role with us.

We are offering an AI Product Engineering Internship for someone excited to apply AI tools to real-world data challenges.
As an intern, you’ll contribute to our internal tooling and automation efforts that enhance the quality, speed, and structure of our datasets. You’ll work alongside experienced engineers and product analysts to scope, build, and test lightweight AI systems embedded in production workflows.
This is a hands-on opportunity to work at the frontier of applied AI—ideal for students or recent graduates eager to gain experience in AI product development in a fast-paced data company.

Example Projects You Might Work On:

• Building prototypes that use LLMs to summarize, classify, or clean raw text data
• Developing small-scale models or rule-based systems to tag or cluster unstructured data
• Creating internal tools for automating QA processes or scaling enrichment pipelines

What are we looking for?

• Currently enrolled in or recently graduated from a technical degree program (e.g. Computer Science, AI, Data Science, Engineering)
• Strong Python skills and basic familiarity with AI libraries (e.g. OpenAI API)
• Experience with data wrangling and working with messy text or structured datasets
• Curious, self-motivated, and excited to work on applied AI problems
• Comfortable working in a collaborative, fast-paced environment
• Bonus: prior project work involving LLM-driven automation

What do we offer?

• A hands-on internship where you’ll ship real tools and prototypes
• Supervision and mentorship from experienced engineers and product leaders
• A hybrid working setup in our Rijswijk office
• Access to paid tooling and learning resources
• A high chance of a future employment opportunity based on performance

If you think this position fits you well, we sincerely hope to hear from you. If so, please submit your resume and motivation letter.