Data Scientist Placement Student

About us

Headquartered in Vienna since 1999, the company now sells in 40 countries and supports customers in 11 languages. Code review is required on every pull request, and nobody merges their own changes.

Overview

We are building text classification and search features using LLMs and classic ML. The intern will help with experiments, evaluation and data labelling. You can work from home anywhere in Austria. We have no office requirement. Monday to Friday, regular working hours, flexible start and finish. A quiet workspace and good internet are required.

Day to day

• Engineer features from transaction, text or event data
• Fine-tune small transformer models with Hugging Face for classification tasks
• Track experiments in MLflow or Weights & Biases so results can be reproduced
• Write prompts and evaluation sets for LLM features, and score the outputs
• Package a trained model behind a simple FastAPI endpoint for testing
• Clean and prepare datasets in Python using pandas and NumPy
• Label and review samples of training data to check quality

Requirements

• Based in Austria for the duration of the internship
• Available for the full internship period
• Pursuing a degree in Computer Science, Statistics, Mathematics, Data Science or a related field, graduating in 2027 or 2028
• A GitHub repo or Kaggle notebook showing at least one ML project end to end
• Laptop with 8 GB RAM or more and a stable internet connection (no GPU needed, we provide cloud compute)
• Clear written English, since most discussions happen in docs and Slack threads

Duration: 3 months

Start date: Jan 2027

Stipend: €1,650 - €2,200 per month

Perks

• Letter of recommendation
• Paid public holidays
• Flexible hours

Duration: 3 months. Start: Jan 2027.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Donau Software KG.