Data Science Intern

About us

We make a web-based inventory and purchasing system used by independent restaurants, breweries and small food manufacturers. Founded in 2013, the business writes the billing, metering and customer portal software that small water and electric utilities run on. Releases go out Tuesday mornings, never on Fridays.

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. The company is based in Jeddah, Saudi Arabia. The team is spread across multiple countries. Remote internship with a team based in Jeddah. The stipend is paid at the end of each month. You will work Dubai business hours, Monday to Friday. We use Slack, Notion and Google Meet. Cameras on for team calls.

Responsibilities

• Label and review samples of training data to check quality.
• Package a trained model behind a simple FastAPI endpoint for testing.
• Engineer features from transaction, text or event data.
• Run exploratory analysis and write up what you find in a Jupyter notebook.
• Evaluate models using precision, recall, AUC and other metrics that fit the problem.
• Track experiments in MLflow or Weights & Biases so results can be reproduced.
• Write prompts and evaluation sets for LLM features, and score the outputs.
• Present findings to the team in a short slide deck every few weeks.

What we're looking for

• Based in Brazil for the duration of the internship.
• Available for the full internship period.
• Eligible to work in Brazil.
• 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)
• Available at least 30 hours a week, with some flexibility during exam weeks.
• Coursework or projects in machine learning, such as regression, classification and clustering.
• Strong Python, including pandas, NumPy and Matplotlib.
• Clear written English, since most discussions happen in docs and Slack threads.

What you'll learn

• Working with messy production data and real business constraints.
• How to judge whether a model is worth deploying, not just whether its accuracy is high.
• Experiment tracking and reproducible notebooks, the way the team actually does it.
• You will take one model from raw data to an evaluated prototype.

Duration: 4 months

Start date: Feb 2027

Stipend: $1,550 - $1,850 monthly

Perks

• Letter of recommendation.
• Flexible hours.
• Certificate of completion.
• Internet allowance.
• Possibility of a full-time offer.

Tell us your notice period and what salary you are looking for.

Duration: 4 months. Start: Feb 2027.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at TP Systems, LLC.