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 have fostered a truly dynamic and vibrant community. Inclusion and diversity are integral to our values, and together we cultivate a culture of respect—for each other, our customers, and the communities around us. At AXA, you will find a sense of belonging and the opportunity to thrive. You will have the chance to shape the way you work, explore new opportunities, push boundaries, and make a difference in critical moments of people's lives. This is your chance to build the tomorrow you envision.

About The Entity

AXA is evolving into a sustainable, technology-led enterprise, and at AXA Group Operations, we are major catalysts for this transformation.

We set the stage for the evolution of our insurance business model through technology and innovation, driving its implementation globally with speed and high-quality advisory and execution.

Present in 17 countries, our committed and highly qualified teams leverage technology, data, sourcing, security, and investment allocation. We aim to achieve economies of scale and synergies whenever necessary.

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

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

About Us

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

We drive innovation forward for AXA Group and foster collaboration between academic and industry experts to develop cutting-edge, data-driven technologies.

By bridging transformative research with real-world applications, AXA GDAI creates significant impacts for AXA worldwide.

Position Summary

We are seeking a highly motivated LLM Intern to join our team. In this role, you will closely collaborate with experienced engineers and researchers to develop, implement, and optimize state-of-the-art 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 sector.

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. You will assess use-case scenarios relevant to the insurance sector, including text generation, summarization, information extraction, and semantic search, among 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 in software development to ensure high-quality, maintainable code.
• Collaboration & Communication: Work in an agile environment alongside 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 the latest trends in large language models, natural language processing, and machine learning. Document your work to facilitate 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:
  • Programming Languages: Proficiency in Python; familiarity with other programming languages is a plus.
  • Data Analytics Stack: Hands-on experience with Pandas, NumPy, Matplotlib, and Scikit-learn.
  • ML & NLP Knowledge: Understanding of 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 in NLP or LLM projects through course assignments, personal projects, or research work. Experience with deep learning frameworks like PyTorch or TensorFlow, and libraries such as Hugging Face Transformers is highly advantageous.
• Soft Skills: Strong problem-solving and analytical thinking abilities, excellent communication skills in English (French proficiency is a plus), and the ability to work independently as well as collaboratively in a fast-paced environment.

What We Offer

We unite the expertise, cultural diversity, and creativity of over 8,000 employees worldwide, committed to equal opportunities in all employment aspects. This includes gender, LGBT+, disability, and diverse origins. We promote Diversity & Inclusion by fostering a work environment 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.