Data Scientist Intern

Description AXA Investment Managers (AXA IM) has been part of the BNP Paribas Group since July 1, 2025, following the completion of its acquisition. AXA IM is a key player in global asset management, with over 3,000 professionals and 24 offices across 19 countries worldwide. We serve a diverse international client base, including institutional investors, corporations, and individuals, offering a wide range of investment opportunities across global markets. Our offerings include both alternative assets (real estate participations, private debt, alternative credit, infrastructure, private equity, and solutions focused on private markets) and traditional assets (bonds, equities, and multi-asset strategies). AXA IM manages approximately €879 billion in assets, of which €493 billion are categorized as investments incorporating ESG criteria, sustainability, or impact considerations. Our goal is to provide our clients with a comprehensive range of products, from traditional investments to ESG strategies, enabling them to align their portfolios with their financial objectives and sustainability priorities. In a rapidly changing world, we adopt a pragmatic approach focused on delivering long-term value to our clients, our employees, and the economy as a whole. Department AXA IM Prime is the private assets one-stop platform of AXA IM, offering investments across private equity, infrastructure equity, private debt and hedge funds. We offer diversified sources of private market returns through primaries, secondaries, co-investments, as well as NAV financing and GP minority stakes solutions. Through partnerships with best-in-class fund managers, we tailor investment solutions for institutional investors and wealth managers that support long-term sustainable growth. AXA IM Prime's team of seasoned investment professionals has a long history of meeting AXA group's ambitious investment targets whilst incorporating proactive ESG commitments and strict risk management criteria. AXA IM Prime oversees EUR30bn** of alternative assets, with EUR5bn** of commitments p.a. to further be deployed over the next 3 years. Main responsibilities As an intern within our Operational Fund Management team, you will contribute to the development and deployment of advanced AI solutions, focusing on Large Language Models (LLMs) and document intelligence. Your mission will be to leverage state-of-the-art AI technologies to automate and enhance document classification, metric extraction, and benchmarking processes across vast datasets. Support the development of a LLM-based workflows for the classification and sorting of hundreds of thousands of PDF documents. Design and execute automated metric extraction pipelines to support operational reporting and analytics. Construct and maintain benchmarks to evaluate the reliability and performance of AI models. Engage in prompt engineering to optimize model outputs for specific business needs. Collaborate with cross-functional teams to integrate AI solutions into existing operational frameworks. Monitor, test, and refine models to ensure accuracy, scalability, and compliance with internal standards. Support the data team in analyzing and leveraging financial and operational data. Qualifications SHARE your unique experience Education/Qualifications: Currently pursuing a Master’s degree at a leading Engineering School or University, specializing in Data Science, Artificial Intelligence, or Computer Science applied to Finance. Previous experience in Data Science, Data Analysis, or Automation is a plus. Technical Skills: Strong understanding of machine learning, natural language processing, and LLM architectures. Experience with Python and relevant AI/ML libraries. Ability to develop reporting applications with Streamlit or similar tool is a plus. Experience with unstructured data processing (OCR, NLP, document classification). Competencies Fluent in English. Proactive and autonomous, with a strong sense of initiative. Attention to detail, analytical and problem-solving skills. Flexible and able to adapt to new situations, processes, and technology. Ability to work independently and as part of a team. Ability to adapt to a dynamic and fast-paced environment. #JT