Data Scientist Analyst

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 truly dynamic and vibrant community. Inclusion and diversity link closely with our values, and together we’re nurturing a culture of respect, for each other, for our customers and the communities around us. Join AXA and you’ll feel like you belong, are included and can thrive. You’ll be able to shape the way you work and truly grow your potential as you seek out new opportunities, push boundaries and benefit people in critical moments of their lives. This is your chance to build the tomorrow you want. Know you can.

About The Entity

AXA is becoming a sustainable tech-led company and at AXA Group Operations we are one of the major catalysts for this transformation.

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

We are present across 17 countries with committed, highly qualified teams. We leverage technology, data, sourcing, security and investment allocation in a global way, but also achieve economies of scale and synergies when necessary.

At AXA Group Operations, we want to be recognized in three fields of action:

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

About Us

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

It drives innovation forward for the AXA Group and fosters collaboration among academic and industry experts to develop innovative data-driven technologies.

By bridging cutting-edge research and real-world applications, AXA GDAI drives 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 & evaluation of LLM models. Some of the use-cases assessed, relevant for the insurance sector, will be text generation, summarization, information extraction, semantic search, and other core NLP tasks relevant to large language models.
• 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. 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 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 (e.g., classes taken at EPFL or another reputable university).
• Technical Skills
• Programming Languages: Proficient 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 (e.g., 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 working on NLP or LLM projects (course assignments, personal projects, or research work).
• Experience with deep learning frameworks such as 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 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 we’re committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) 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.