Data Scientist / Data Scientistess

About AXA

As a world-leading insurance company, we act for human progress by protecting what matters. With 153,000 employees in 54 countries serving 105 million customers, we’ve created a dynamic and vibrant community. Inclusion and diversity are closely linked with our values, and together we nurture a culture of respect for each other, our customers, and the communities around us. Join AXA, where you will feel a sense of belonging and can thrive. Here, you will have the freedom to shape your work and grow your potential as you seek out new opportunities, push boundaries, and make a difference in critical moments of people’s lives. This is your chance to build the tomorrow you want. Know you can.

About The Entity

AXA is transforming into a sustainable tech-led company, with AXA Group Operations acting as a key catalyst for this transformation.

We lead the evolution of our insurance business model through technology and innovation, driving its global implementation with high standards of advisory and execution.

Our presence spans 17 countries with committed, highly qualified teams. We leverage technology, data, sourcing, and security, achieving economies of scale and synergies where necessary.

At AXA Group Operations, we aim to excel in three key areas:

• State-of-the-art Data Technology to enhance customer experience
• State-of-the-art Procurement & Sourcing to drive efficiency and manage risks
• High-Performing Global Team for stronger partnerships with AXA entities

About Us

AXA GDAI is a group-wide innovation unit located on the EPFL campus, focusing on advanced research for risk and insurance solutions.

We drive innovation forward for the AXA Group, fostering collaboration among academic and industry experts to develop innovative data-driven technologies. By bridging cutting-edge research and real-world applications, AXA GDAI creates transformational impact for AXA worldwide.

Position Summary

We are seeking a highly motivated LLM Intern to join our team. In this role, you will work closely with experienced engineers and researchers to develop, implement, and optimize cutting-edge natural language processing (NLP) and large language model solutions. This is an excellent opportunity to gain hands-on experience with real-world projects and contribute directly to the company’s ongoing innovation in the AI domain.

Key Responsibilities

• Text Data Analysis & Preprocessing: Collect, clean, and organize textual datasets using Python-based data analytics tools.
• Model Development & Testing: Assist in the testing, fine-tuning, and evaluation of LLM models, including text generation, summarization, information extraction, semantic search, and other core NLP tasks relevant to large language models in the insurance sector.
• Software Engineering Best Practices: Contribute to project codebases using version control (Git), participate in code reviews, and follow software development best practices to ensure high-quality, maintainable code.
• Collaboration & Communication: Work in an agile environment alongside senior engineers, data scientists, and cross-functional teams. Effectively communicate findings and technical challenges in English. (Knowledge of French is a plus.)
• Research & Documentation: Stay updated on the latest trends in large language models, natural language processing, and machine learning. Document your work for internal knowledge sharing, including best practices, research findings, and prototype implementations.

Qualifications

• Educational Background: Currently pursuing a degree in Computer Science, Electrical Engineering, or a related field, with relevant coursework in machine learning and NLP.
• Technical Skills: Proficient in Python; hands-on experience with Pandas, NumPy, Matplotlib, and Scikit-learn; fundamental knowledge of ML & NLP concepts (e.g., transformer architectures, text preprocessing, tokenization, language modeling, and text classification); basic understanding of version control (Git) and testing frameworks.
• Project Experience: Demonstrated experience with NLP or LLM projects (course assignments, personal projects, or research work); familiarity with deep learning frameworks like PyTorch or TensorFlow, and libraries like Hugging Face Transformers is highly advantageous.
• Soft Skills: Strong problem-solving and analytical thinking abilities; excellent written and verbal communication skills in English (French is a plus); ability to work both independently and collaboratively in a fast-paced environment.

What We Offer

We bring together the expertise, cultural diversity, and creativity of over 8,000 employees worldwide. We are committed to equal opportunities in all aspects of employment and to promoting Diversity & Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.

Apply online using the form below.

Note: Only applications matching the job profile will be considered.