Data Science Intern (Remote)

About us:

Our pipeline includes more than 30 programs in oncology, immunology and neuroscience. We employ 2,700 people across research, clinical development, manufacturing and commercial teams.

The internship:

We are building text classification and search features using LLMs and classic ML. The intern will help with experiments, evaluation and data labelling. Our headquarters is in Rotterdam, and about a third of the team works remotely from other countries. The internship is fully remote. Interns join our Rotterdam team on daily calls and get a named mentor. Working hours overlap with Central European Time.

Day to day:

• Engineer features from transaction, text or event data.
• Clean and prepare datasets in Python using pandas and NumPy.
• Write prompts and evaluation sets for LLM features, and score the outputs.
• Train baseline models with scikit-learn and compare them against simple rules.
• Package a trained model behind a simple FastAPI endpoint for testing.
• Evaluate models using precision, recall, AUC and other metrics that fit the problem.
• Label and review samples of training data to check quality.
• Pull data from BigQuery or PostgreSQL with SQL queries.

Who can apply:

• Authorized to work in the US. CPT and OPT candidates are welcome to apply.
• Available 40 hours a week for the full internship.
• Laptop with 8 GB RAM or more and a stable internet connection (no GPU needed, we provide cloud compute)
• Available at least 30 hours a week, with some flexibility during exam weeks.
• Basic statistics: distributions, hypothesis testing, sampling.
• Pursuing a degree in Computer Science, Statistics, Mathematics, Data Science or a related field, graduating in 2028.
• A GitHub repo or Kaggle notebook showing at least one ML project end to end.

Preferred:

• Understanding of A/B testing.
• Kaggle competitions or a published student research paper.
• Some work with LLM APIs, embeddings or retrieval.

What you'll learn:

• You will take one model from raw data to an evaluated prototype.
• How to judge whether a model is worth deploying, not just whether its accuracy is high.
• Working with messy production data and real business constraints.
• Weekly mentorship from a senior data scientist.

Duration: 10-12 weeks

Start date: May 2027

Stipend: $38.00-$50.00 an hour

What we offer:

• Final presentation to leadership.
• Flexible hours.
• Home office setup stipend.
• Intern events and speaker sessions (virtual)

Duration: 10-12 weeks. Start: May 2027.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Ravenbound B.V..