EU remote
AI & Data – Intern
About this role
At AlixPartners we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.
We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone. AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.
What You’ll Do An opportunity has become available for an Intern to join our Performance & Technology team in Paris. The 6 months internship is an opportunity to explore and understand the Performance & Technology practice with a focus on AI & Data. It would start when possible in 2026, would last six months and would be based in Paris (75008), with some travels in France mainly. AI&Data Transformation Services: AI & Data expertise is now a crucial, established component in every AlixPartners project.
Our experts pragmatically help companies efficiently leverage modern technologies to quickly achieve competitive cost, and operational advantages. AlixPartners’ AI & Data Practice is on a strong growth trajectory and is seeking consultants who enjoy applying digital and AI knowledge to solve companies’ most pressing challenges. AI & GenAI Strategic identification and selection of AI technologies aligned with the client’s business objectives, data landscape, and transformation roadmap.
Rapid prototyping and deployment of Generative AI use cases, including text summarization, synthetic data creation, and automated knowledge extraction. Integration of enterprise-grade LLMs (e.g., OpenAI, Anthropic, Mistral) into internal tools, applications, and decision-making workflows. Custom prompt engineering and model fine-tuning to optimize output quality, ensure alignment with governance standards, and deliver measurable business impact.