Lazard Data Analytics Group drives innovation by developing advanced AI and data science solutions that enhance decision-making across financial advisory and asset management business lines, ensuring Lazard stays at the forefront of a data-driven world.
Requirements
- Strong programming skills in Python.
- Experience with object-oriented or functional programming.
- Understanding of large language model (LLM) frameworks such as LangChain, LlamaIndex, and VectorDBs.
- Interest in and exposure to agentic workflows, autonomous AI systems, and MCP (Model Context Protocol) agent development.
- Knowledge of unstructured data processing and NLP techniques (e.g., entity recognition, text classification, sentiment analysis, RAG).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Familiarity with APIs and microservices frameworks like FastAPI or Flask.
Responsibilities
- Design, prototype, test, and deploy AI-driven applications and data products that leverage machine learning, natural language processing, and generative AI.
- Work closely with AI engineers, data scientists, software engineers, investment bankers, and senior management across the Firm.
- Leverage machine learning, natural language processing, and generative AI.
- Develop advanced AI and data science solutions.
- Enhance decision-making across financial advisory and asset management business lines.
- Deliver insights that support client engagements and strengthen key partnerships.
- Keep the firm competitive and efficient in an evolving financial landscape.
Other
- The internship will be approximately 10 weeks starting in June of 2026 and concluding in August 2026.
- A Bachelors or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- A passion for building innovative, high-quality AI applications.
- The ability to work both independently and collaboratively as a team player.
- Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients.
