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 built 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. Join AXA and you’ll find a place where you belong, are included, and can thrive. You’ll have the opportunity to shape your work, grow your potential, explore new opportunities, and make a difference in critical moments of people’s lives. This is your chance to build the future you envision. You can make it happen.

About The Entity

AXA is transforming into a sustainable tech-led company, and at AXA Group Operations, we are major catalysts for this change.

We lead the evolution of our insurance business model through technology and innovation, ensuring its swift and high-quality implementation on a global scale.

With a presence in 17 countries, our committed and highly skilled teams leverage technology, data, sourcing, security, and investment allocation to achieve economies of scale while fostering synergies as needed.

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 to improve efficiency and manage risks effectively
• High-Performing Global Team for stronger partnerships with AXA entities

About Us

AXA GDAI is a group-wide innovation unit based at the EPFL campus, focusing on advanced research related to risk and insurance solutions.

We drive innovation for the AXA Group and foster collaboration among academic and industry experts to develop advanced data-driven technologies.

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

Position Summary

We are looking for 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 innovative natural language processing (NLP) and large language model solutions. This opportunity will provide you with valuable hands-on experience with real-world projects and enable you to contribute to our 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, 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 software development best practices to ensure the quality and maintainability of code.
• Collaboration & Communication: Work in an agile environment with 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; relevant coursework in machine learning and NLP is preferred.
• Technical Skills:
  • Programming Languages: Proficient in Python; familiarity with additional programming languages is a plus.
  • Data Analytics Stack: Hands-on experience with Pandas, NumPy, Matplotlib, and Scikit-learn.
  • ML & NLP Knowledge: Understanding fundamental concepts such as transformer architectures, text preprocessing, tokenization, language modeling, and text classification.
  • Software Engineering: Basic understanding of version control (Git), modular coding practices, and testing frameworks.
• Project Experience: Demonstrated experience with NLP or LLM projects (course assignments, personal projects, or research work) and experience with frameworks such as PyTorch or TensorFlow, along with 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 (proficiency in French is a plus).
  • Able to work both independently and collaboratively in a fast-paced environment.

What We Offer

We combine the expertise, cultural diversity, and creativity of over 8,000 employees worldwide. We are committed to equal opportunities in all aspects of employment (gender, LGBT+, individuals with disabilities, and people from diverse backgrounds) and to promoting Diversity & Inclusion by fostering 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.