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 serving 105 million customers, we’ve created a truly dynamic and vibrant community. Inclusion and diversity are closely linked with our values, and together we’re nurturing a culture of respect for each other, our customers, and the communities around us. Join AXA and experience a sense of belonging where you can thrive, shape the way you work, and grow your potential. This is your chance to build the tomorrow you want. Know you can.

About The Entity

AXA is evolving into a sustainable, tech-led company, and AXA Group Operations is one of the major catalysts for this transformation. We lead by triggering and empowering the evolution of our insurance business model through technology and innovation, driving its global implementation with speed and high-quality advisory and execution.

Our presence spans 17 countries, featuring committed, highly qualified teams. We leverage technology, data, sourcing, security, and investment allocation globally while achieving necessary economies of scale and synergies.

At AXA Group Operations, we aspire to be recognized in three key areas:

• State-of-the-art Data Technology to enhance customer experience
• State-of-the-art Procurement & Sourcing for improved efficiency and risk management
• High-Performing Global Team to foster stronger partnerships with AXA entities

About Us

AXA GDAI is a group-wide innovation unit located on the EPFL campus that focuses on advanced research for risk and insurance solutions. We drive innovation for the AXA Group and foster collaboration among academic and industry experts to develop innovative, data-driven technologies.

By bridging cutting-edge research with real-world applications, AXA GDAI drives a transformational impact for AXA worldwide.

Position Summary

We are seeking a highly motivated LLM Intern to join our team. In this role, you will collaborate 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 testing, fine-tuning, and evaluating LLM models, focusing on use-cases relevant to the insurance sector, including text generation, summarization, information extraction, semantic search, and other core NLP tasks.
• Software Engineering Best Practices: Contribute to project codebases using version control (Git), participate in code reviews, and adhere to best practices to ensure high-quality, maintainable code.
• Collaboration & Communication: Work in an agile environment with senior engineers, data scientists, and cross-functional teams. Communicate findings and technical challenges effectively in English. (Knowledge of French is a plus.)
• Research & Documentation: Stay updated on 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 data analytics tools such as Pandas, NumPy, Matplotlib, and Scikit-learn.
  • Understanding of fundamental concepts in ML & NLP including transformer architectures and language modeling.
  • Basic understanding of version control (Git) and software engineering practices.
• Project Experience: Experience with NLP or LLM projects through course assignments, personal projects, or research work. Familiarity with deep learning frameworks like PyTorch or TensorFlow and libraries like Hugging Face Transformers is advantageous.
• Soft Skills:
  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication skills in English; proficiency in French is a plus.
  • Able to work 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, including gender, LGBT+, and disability, and we promote Diversity & Inclusion by creating a work environment where all employees are respected and valued for their individual differences.

Apply online using the form below. Please note that only applications matching the job profile will be considered.