Data Scientist Analyst / Data Scientist Analystess

About AXA

As a world-leading insurance company, we act for human progress by protecting what matters. With 153,000 employees in 54 countries working for 105 million customers, we’ve created a dynamic and vibrant community. Inclusion and diversity are integral to our values, and together we nurture a culture of respect for each other, our customers, and the communities we serve. At AXA, you’ll find a place where you belong, where you are included, and where you can thrive. This is your opportunity to shape your work environment and unlock your potential as you explore new possibilities, push boundaries, and support individuals in critical moments of their lives. This is your chance to build the future you envision.

About The Entity

AXA is evolving into a sustainable, tech-led company, and at AXA Group Operations, we are a significant catalyst for this transformation.

We set the tone by triggering and empowering the evolution of our insurance business model through technology and innovation, driving its implementation globally with a focus on high-quality advisory and execution.

Operating across 17 countries, our committed and highly qualified teams leverage technology, data sourcing, security, and investment allocation globally while achieving economies of scale and synergies when necessary.

Our Objectives

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

About Us

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

We drive innovation forward for the AXA Group while fostering collaboration among academic and industry experts to develop pioneering data-driven technologies.

By bridging cutting-edge research with real-world applications, AXA GDAI creates transformational impact for AXA globally.

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 opportunity offers hands-on experience with real-world projects, allowing you to 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, focusing on use cases relevant to the insurance sector such as text generation, summarization, information extraction, and semantic search.
• Software Engineering Best Practices: Contribute to project codebases using version control (Git), participate in code reviews, and adhere to software development best practices for high-quality, maintainable code.
• Collaboration & Communication: Work in an agile environment alongside senior engineers and data scientists, effectively communicating 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; familiarity with other programming languages is a plus.
  • Hands-on experience with Pandas, NumPy, Matplotlib, and Scikit-learn.
  • Understanding of fundamental ML & NLP concepts such as transformer architectures, text preprocessing, tokenization, language modeling, and text classification.
  • Basic understanding of version control (Git), modular coding practices, and testing frameworks.
• Project Experience: Demonstrated experience working on NLP or LLM projects, with knowledge of deep learning frameworks like PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers being highly advantageous.
• Soft Skills:
  • Strong problem-solving and analytical thinking abilities.
  • Excellent written and verbal communication skills in English. (French language proficiency 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 and are committed to equal opportunities in all aspects of employment. We promote Diversity & Inclusion by creating a workplace where all employees are treated with dignity and respect, and where individual differences are valued.

Apply online using the form below. Only applications matching the job profile will be considered.