Internship focused on developing foundation models for tabular data at Ekimetrics, a leader in data science and AI. Engage in advanced IA research and collaborate with industry partners.
Responsibilities
Conduct a literature review on state-of-the-art models and techniques in deep learning for tabular data, with a particular focus on foundation models.
Develop and experiment with architectures such as CARTE, which uses graph representations to contextualize tabular inputs; TabR, which incorporates nearest-neighbor mechanisms; and TabPFN, a transformer-based model for fast classification of tabular data.
Collaborate with your manager (N+1) to design, implement, and evaluate model prototypes on real-world datasets.
Share results with the internal team and contribute to the development of long-term strategies for deploying foundation models to production.
Requirements
Currently in the final year of a Master’s program or engineering school, with a strong background in machine learning, statistics, and programming.
Experience with Python, deep learning frameworks (PyTorch, TensorFlow), and familiarity with tabular data analysis.
Knowledge of advanced machine learning techniques, including transformers and graph neural networks.
Strong analytical and problem-solving skills, with an interest in developing scalable and high-performance AI models.
Proficiency in English.
Benefits
Access to the EkiA training catalogue, which includes programs to upskill you on our solutions and business domains, learning pathways on our digital platform, and programs dedicated to our priority initiatives, including environmental awareness through AXA’s Climate School.
A vibrant cultural and social life — sporting, artistic, musical, recreational and charitable activities: from our private gym to art exhibitions, video games and concerts, as well as CSR challenges on the Vendredi platform;
Numerous events and seminars to stay connected with your community;
Modern offices in a dynamic neighborhood in the heart of Paris (Grands Boulevards)
A flexible remote work policy.
Job title
Internship 2026 – Data Science and Machine Learning/AI, Foundation Models for Tabular Data
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