Europe Arbeitnow ·
full-timeStage IA/ML Engineer 100% R&D - Agentic AI
Ekimetrics · Paris
Ekimetrics is a European data‑science consultancy that delivers analytics projects for large enterprises across sectors such as finance, retail and healthcare. The Innovation Department focuses on research‑driven AI, especially on building agentic systems that can assist data‑science teams. This internship works on "remit," a prototype that uses large language‑model agents to semi‑automate the end‑to‑end data‑science workflow—from framing a business question through data preparation, modeling and evaluation, with automatic checks and human oversight. Day‑to‑day tasks include reviewing recent research on agentic data‑science, prototyping and testing LLM‑driven agents, integrating them into Ekimetrics’ modern data stack, writing production‑grade code, and collaborating with senior data scientists to ensure robustness, governance and traceability of results. The role suits a graduate‑level candidate or advanced undergraduate with strong programming skills (Python), familiarity with machine‑learning pipelines, an interest in large‑language‑model applications, and the ability to translate research ideas into practical tools.
INTERNSHIP Agentic AI for Semi-Automating the Data Science Workflow 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 and AI builders to build and refine remit. This internship offers an opportunity to engage with cutting-edge AI research and production engineering. Key Responsibilities The intern will: Review the latest research on agentic data science and on the evaluation of AI agents, building on the team's recent review. Design and implement remit's agents, starting with problem framing and data design, together with the automatic checks that catch mistakes such as data leakage. Help define how the system works with business users: when to ask a clarifying question, when to stop rather than guess, and how to explain results in plain language. Extend the system toward modeling and evaluation, building on trusted tools (scikit-learn, AutoML, tabular foundation models) rather than free-form generated code. Build a benchmark of realistic business cases, run experiments to measure quality, reliability and cost, and take part in a pilot with business users. Help integrate the system with the Databricks stack (Unity Catalog, MLflow) and support the safe and go
| Role | Stage IA/ML Engineer 100% R&D - Agentic AI |
|---|---|
| Company | Ekimetrics |
| Location | Paris |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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