Python Developer - Basketball Analysis Internship H/F - SkillCorner

About SkillCorner collecte de la data sportive de manière 100% automatique à partir d'une simple vidéo de match de sport professionnel.La société, aujourd'hui leader mondial dans son domaine d'expertise, développe des algorithmes de Computer Vision et de Machine Learning qui permettent de détecter tous les objets mouvants (chaque joueur, le ballon et l'arbitre) sur l'image, de les localiser sur le terrain, de les suivre image après image et de les reconnaître. A partir de ces données brutes, SkillCorner produit des indicateurs de performance, d'intelligence de jeu et des visualisations qui sont utilisés par les clubs, les fédérations nationales et les agences de joueurs.SkillCorner couvre plus de 150 compétitions (féminines et masculines) et possède plus de 100 milliards de points de données sur plus de 100 000 joueurs professionnels. Plus de 250 équipes de football, de basketball et de football américain à travers le monde utilisent quotidiennement sa donnée à des fins de recrutement, d'analyses de jeu et de l'adversaire.
Job DescriptionSkillCorner provides physical and tactical performance data for professional sports teams and leagues.The US Sports team builds the analytics products that turn our tracking data into insights for basketball (and, increasingly, American football) clients.You will be mentored closely by two engineers on the US Sports team and work directly on products used by professional clubs and leagues.This is afully remote position, open only to candidates based within Europe, in time zones within +/-2 hours of Central European Time (CET)ResponsibilitiesBuild and ship features for our basketball analytics webapp.Help triage and fix bugs reported by client teams.Manage client requests, data access and day-to-day operational needs.Analyze platform users' behavior to optimize the previously mentioned features.

Preferred Experience Must haveSolid Python and SQL.Experience with Streamlit (personal or academic projects count).Ability to use AI coding agents in your workflow.Familiarity with a cloud environment (GCP or AWS).Experience with basketball-related projects (personal, academic, or professional)Professional working English.Candidates for this internship must be able to provide avalid internship agreement *(convention de stage)* with their school or university, as this is a paid internship.Nice to haveFrench.Personal Streamlit or side projects, including well-executed vibe-coded ones (a big plus).Curiosity about sports analytics and eagerness to learn.Knowledge of American football.Why join us?Your work powers decisions made by top professional clubs and leagues.Real ownership from day one: you ship features that clients actually use.Close mentorship from two engineers, with room to grow into cloud, data and multi-sport product work.A fast-moving, multi-sport environment (basketball and US football) with genuine technical challenges. Recruitment Process 1. Phone screening: 20/30 min.2. Technical test (take-home assignment, ~1 hour) Additional Information Contract Type: Internship (Between 6 and 6 months) Location: Paris, London Education Level: Bachelor's DegreePossible full remote