Job

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

Ekimetrics · Paris

At a glance

Type: Job
Organisation: Ekimetrics
Location: Paris
Work mode: On-site
Deadline: Rolling / not stated
Posted: 26 Oct 2026

About this job

<div> <div> <div> <p><span data-contrast="none">INTERNSHIP</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559739":40}"> </span></p> </div> <div> <p aria-level="1" role="heading"><span data-ccp-parastyle="heading 1">Agentic AI for Semi-Automating the Data Science Workflow</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559739":240,"335572079":6,"335572080":6,"335572081":11957550,"469789806":"single"}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">Key Figures</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">20 years of experience in data science</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">500+ data scientists, all consultants</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">5 offices in Paris, London, New York, Hong Kong, and Shanghai</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">350+ clients (CAC40, Fortune500)</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">$1M+ in profit generated for our clients since 2006</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">1,000+ data science projects</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">Internship Objective: From a Business Question to a Trusted Recommendation</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">The Innovation Department is building </span><span data-contrast="auto">remit</span><span data-contrast="auto">, 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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">Key Responsibilities</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> </div> <div> <div> <p><span data-contrast="auto">The intern will:</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":160,"335559740":276}"> </span></p> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Review the latest research on agentic data science and on the evaluation of AI agents, building on the team's recent review.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Extend the system toward modeling and evaluation, building on trusted tools (scikit-learn, AutoML, tabular foundation models) rather than free-form generated code.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Build a benchmark of realistic business cases, run experiments to measure quality, reliability and cost, and take part in a pilot with business users.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Help integrate the system with the Databricks stack (Unity Catalog, MLflow) and support the safe and governed operation of the agents.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">Profile</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Currently in the final year of a Master's or Engineering degree, with strong foundations in machine learning, statistics, and programming.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="14" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Good grasp of model validation: train/test splits, data leakage, baselines.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="15" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Strong analytical and problem-solving skills, with the ability to work autonomously on an open-ended research-and-build problem and to explain results to non-specialists.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="16" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Familiarity with large language models and agentic techniques (prompting, tool calling, structured outputs, evaluation).</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="17" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Strong Python skills and a solid command of the standard data science toolkit (pandas/polars, scikit-learn, gradient-boosting libraries).</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="18" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Fluency in English.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Nice to have:</span> <span data-contrast="auto">experience with an agent framework, solid software engineering practices (git, code review, testing), and exposure to Databricks, MLflow or cloud data platforms.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">Benefits</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="20" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Hands-on Research & Engineering Experience: </span><span data-contrast="auto">Build a pioneering agentic system on real data science workflows, contributing to a tool with direct real-world impact.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="21" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Collaborative Learning: </span><span data-contrast="auto">Engage with a team of data scientists, AI experts, and PhDs in a dynamic, research-driven environment within Ekimetrics' Innovation Department.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="22" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Skill Development: </span><span data-contrast="auto">Gain expertise in LLM agents, the evaluation of AI systems, and production tooling on Databricks (Unity Catalog, MLflow).</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="23" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Career Growth: </span><span data-contrast="auto">Opportunity to transition into a full-time Data Scientist role in AI at Ekimetrics, or into a PhD program, upon successful completion of the internship.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> </div> <div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Scientific Contribution: </span><span data-contrast="auto">Opportunity to co-author and publish scientific papers in reputable AI and data science conferences and journals.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="25" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Networking: </span><span data-contrast="auto">Collaborate with Ekimetrics' industrial and academic partners, enhancing your professional network in the AI research community.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <ul role="list" style="list-style-type: disc;"> <li aria-setsize="-1" data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":480,"335559991":240,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="26" data-aria-level="1" role="listitem"> <p><span data-contrast="auto">Ethical and Sustainable AI: </span><span data-contrast="auto">Learn to develop AI solutions that align with ethical, governed, and sustainable best practices, a core commitment of Ekimetrics.</span><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </li> </ul> </div> <div> <p><span data-contrast="auto">Duration: </span><span data-contrast="auto">6 months, Paris</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":160,"335559739":160}"> </span></p> </div> <div> <p aria-level="2" role="heading"><span data-ccp-parastyle="heading 2">References</span><span data-ccp-props="{"335551550":6,"335551620":6,"335559738":280,"335559739":140}"> </span></p> </div> <div> <p><span data-contrast="auto">[1] LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions (2025). </span><a rel="noreferrer noopener" href="https://arxiv.org/abs/2510.04023"><span data-ccp-charstyle="Hyperlink">https://arxiv.org/abs/2510.04023</span></a><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">[2] MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering (2025). </span><a rel="noreferrer noopener" href="https://arxiv.org/abs/2410.07095"><span data-ccp-charstyle="Hyperlink">https://arxiv.org/abs/2410.07095</span></a><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">[3] Ambig-DS: A Benchmark for Task-Framing Ambiguity in Data-Science Agents (2026). </span><a rel="noreferrer noopener" href="https://arxiv.org/abs/2605.09698"><span data-ccp-charstyle="Hyperlink">https://arxiv.org/abs/2605.09698</span></a><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </div> <div> <p><span data-contrast="auto">[4] TabICLv2: A Better, Faster, Scalable, and Open Tabular Foundation Model (2026). </span><a rel="noreferrer noopener" href="https://arxiv.org/abs/2602.11139"><span data-ccp-charstyle="Hyperlink">https://arxiv.org/abs/2602.11139</span></a><span data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559739":80,"335559740":276}"> </span></p> </div> </div><p>Find <a href="https://www.arbeitnow.fr">Jobs in France</a> on Arbeitnow</a>

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