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
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.
Senior Data Scientist leveraging advanced analytical techniques to support Walmart's strategic objectives. Collaborating across functions, mentoring team members, and ensuring data governance standards.