Data Science Competitions

The world's largest data science community with powerful tools and resources.

Often called "Kaggle for social good." Their competitions focus on high-impact areas like health, education, and conservation (e.g., predicting disease outbreaks or identifying wildlife).

Known for hosting more "scientific" and academic-leaning challenges. They have a strong reputation for Reinforcement Learning (RL) and robotics challenges.

This is the largest data science community in China. It features massive datasets and significant prize pools (sometimes reaching $1M), often focusing on retail, logistics, and computer vision.

The leading platform for African data science. It focuses on solving local challenges—like financial inclusion or agricultural monitoring—using African datasets.

A unique, decentralized hedge fund. You build models on obfuscated financial data to predict the stock market. Instead of a one-off prize, you "stake" cryptocurrency (NMR) on your model to earn weekly payouts.

Focuses heavily on AI and data science for the finance and recruitment sectors.

Japan’s primary data science competition platform, featuring challenges from major Japanese corporations and government agencies.

If you prefer hackathons over long-term leaderboard grinds, this is the place. They focus on modern Generative AI, LLMs, and building actual prototypes (AI agents, etc.) within 48–72 hours.

Primarily used by researchers at top conferences (like CVPR or NeurIPS). These are often state-of-the-art academic challenges that push the boundaries of current AI models.

While largely for general coding, they have a dedicated "Machine Learning" section that hosts corporate hiring challenges.