Working alongside senior data scientists and AI experts who lead the system's overall design and architecture, the intern will:

• Conduct a focused literature review on agentic data science, automated machine learning, and LLM-agent techniques (planning, tool use, multi-agent orchestration), including human-in-the-loop and evaluation methods.

• Contribute to the design of the multi-agent system and implement its components, starting with the feature engineering and modeling/experimentation loop and producing runnable notebooks/code for human review.

• Participate in defining the human-in-the-loop interaction model (which steps run with explicit human approval versus autonomously with human review) and implement the corresponding control and guardrail logic.

• Help integrate the system with the Databricks stack: governed data access via Unity Catalog, execution on Databricks compute, and experiment tracking, agent tracing, and evaluation via MLflow.

• Support work on the safe and governed execution of agent-generated code, including isolation and access-control considerations.

• Run experiments, evaluate prototypes on real-world datasets, and benchmark against prior art and MLE-bench-style task performance, iterating on architecture and prompts in collaboration with your N+1.

• Share findings with the team and contribute to discussions on the long-term strategy for deploying agentic data science tooling in production.

Profile :

• Currently in the final year of a Master's or Engineering degree, with strong foundations in machine learning, statistics, and programming.

• Strong Python skills and experience with deep learning frameworks (PyTorch, TensorFlow); comfortable with the standard data science toolkit (pandas/polars, scikit-learn, gradient-boosting libraries).

• Familiarity with large language models and agentic techniques (prompting, tool/function calling, retrieval, multi-agent orchestration); hands-on experience with an agent framework is a plus.

• Solid software engineering practices (version control, testing, clean code) and an interest in building reliable, scalable AI systems.

• Exposure to Databricks, Spark, MLflow, or cloud data platforms is a plus.

• Strong analytical and problem-solving skills, with the ability to work autonomously on an open-ended research-and-build problem.

• Fluency in English.

Benefits :

• Hands-on Research & Engineering Experience: Build a pioneering agentic system on real data science workflows, contributing to a tool with direct real-world impact.

• Collaborative Learning: Engage with a team of data scientists, AI experts, and PhDs in a dynamic, research-driven environment within Ekimetrics' Innovation Department.

• Skill Development: Gain expertise in LLM agents and multi-agent orchestration, modern agent frameworks, and production tooling on Databricks (Unity Catalog, MLflow).

• Scientific Contribution: Opportunity to co-author and publish scientific papers in reputable AI and data science conferences and journals.

• Networking: Collaborate with Ekimetrics' industrial and academic partners, enhancing your professional network in the AI research community.

• Ethical and Sustainable AI: Learn to develop AI solutions that align with ethical, governed, and sustainable best practices, a core commitment of Ekimetrics.

Duration: 6 months, Paris

References :

[1] AIDE: AI-Driven Exploration in the Space of Code. https://arxiv.org/abs/2502.13138

[2] Data Interpreter: An LLM Agent for Data Science. https://arxiv.org/abs/2402.18679

[3] AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions. https://arxiv.org/abs/2410.20424

Why join us?

• The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs, learning paths on our digital platform, as well as programs dedicated to our priority challenges, including awareness of environmental issues with the Climate School;
• A sporty, artistic, musical, playful, charitable, and committed life: from our private gym to art exhibitions, video games, and concerts, or even CSR challenges on our dedicated platform (Vendredi);
• Many events and seminars to stay close to your community;
• Modern premises in a dynamic area in the heart of Paris and London;
• Flexible working-from-home policy.