Stage IA/ML Engineer 100% R&D - agentic AI

Ekimetrics is the European leader in data science, with over 500 data scientists and 1,000+ projects since 2006. With offices in Paris, London, New York, and Hong Kong, we conduct projects in over 50 countries across various sectors, including financial services, retail, telecom, healthcare, and more.
Our mission is to help companies audit their data opportunities, enhance their analytical capital, and deploy actionable solutions that maximize their marketing and operational performance while reinvigorating business models.
Our absolute focus is on delivering short-term gains while ensuring the long-term development of our clients' data capital. We are committed to offering the most advanced data science approaches and building ethical, sustainable AI practices.
Key Figures
20 years of experience in data science
500+ data scientists, all consultants
5 offices in Paris, London, New York, Hong Kong, and Shanghai
350+ clients (CAC40, Fortune500)
$1M+ in profit generated for our clients since 2006
1,000+ data science projects
Within Ekimetrics, the Innovation Department works on AI research topics in collaboration with our industrial and academic partners. The department comprises several PhD experts in generative AI, deep learning, computer vision, time series, explainability, and causality. Each expert leads teams tasked with studying and building state-of-the-art methods and adapting them to specific business problems, developing new methodologies or algorithms to address identified challenges, and ensuring a seamless handover for integration within Ekimetrics' industrial ecosystem.
A central focus of the Innovation Department is closing the gap between cutting-edge AI agents and the day-to-day reality of delivering data science at scale. The department is investing in agentic systems that accelerate the data science lifecycle while keeping data scientists firmly in control of quality, governance, and business relevance. This internship sits at the heart of that effort, combining applied AI research with production-grade engineering on Ekimetrics' modern data stack.
Internship Objective: From a Business Question to a Trusted Recommendation
LLM-based agents have made rapid progress in the past two years: they can now write, run and tune machine learning code with little human help. Yet real data science projects rarely start from a clean, well-defined task. They start from a business question and imperfect data, and the early choices (what to predict, how to measure success, how to validate) decide whether the result can be trusted. Automating these steps calls for assistants that know when to ask, when to stop, and how to back every claim with evidence.
The Innovation Department is building remit, a harness that semi-automates the data science workflow. At each step of a project (framing, data design, exploratory analysis, modeling, evaluation), AI agents draft the output, automatic checks catch common mistakes such as data leakage, and a data scientist reviews and accepts the result before moving on. Ultimately, a business user brings a question and a dataset, and the system frames the problem, prepares and explores the data, compares models against a simple baseline, and returns a clear recommendation in which every figure can be traced back to the data.
The work builds on recent research in agentic data science [1]. Agents now earn medals on many of the Kaggle competitions in MLE-bench [2], yet they tend to guess silently rather than ask when a task is ambiguous [3]. Meanwhile, tabular foundation models such as TabICLv2 [4] give strong predictive models without any tuning.
The intern will work with senior data scientists

Employment type
Internship

Work arrangement
Hybrid