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New YorkCorporateSummer InternshipLazard is one of the world’s leading financial advisory and asset management firms. Our people make the difference. With just over 3,000 employees, our tight-knit community allows for professionals eager to learn and willing to teach to connect and grow together. We believe that diversity, equity, inclusion, and allyship are not just business imperatives — they are central pillars of our employee experience. Our entrepreneurial culture and flat structure allow creative ideas and original concepts to drive our business forward — and for careers to take flight.Lazard Data Analytics Group, composed of data scientists and software engineers, drives innovation by developing advanced AI and data science solutions that enhance decision-making across our financial advisory and asset management business lines. This team ensures Lazard stays at the forefront of a data-driven world, delivering insights that support client engagements and strengthen key partnerships, while keeping the firm competitive and efficient in an evolving financial landscape.The Data Science Summer Intern at Lazard will work within the Data Services Team. Their primary responsibility is to analyze large-scale data sets in finance and extract insights that add value firmwide. The Data Science Summer Intern will have the opportunity to work closely with data scientists, software engineers, investment bankers and senior management across the Firm.Successful candidates will have a strong quantitative background, including thorough statistical modeling skills, strong programming abilities, and experience developing generative AI tools.You’ll need to have:• A Bachelor's or advanced degree in Data Science, Computer Science, Statistics, Quantitative Finance, Business Analytics, or equivalent.• Strong programming skills in Python.• Excellent knowledge of machine learning algorithms and strong statistical/econometric modeling skills.• Experience with unstructured data and natural language processing (scraping, text classification, topic modelling, value extraction, and/or generative AI applications).• The ability to query and analyze data from large-scale databases. Prior experience in big data engineering preferred.• Experience with data visualization and communicating technical results to a non-technical audience.• The ability to work both independently and as a team player.It is a bonus to have:• A strong interest or previous experience in finance.• Experience extracting insights from documents by leveraging Retrieval-Augmented Generation (RAG) technologies and developing agentic LLMs.• Proficiency in frameworks such as Langchain, LlamaIndex, VectorDBs, DSPy and fastapi.Does this sound like you?Apply! We’ll get in touch and let you know the next steps.We expect the prorated salary for this role to be approximately $100,000 USD for the duration of the duration of the internship. The internship will be approximately 10 weeks starting in June of 2025 and concluding in August 2025.Inclusion at LazardLazard is an intellectual capital business focused on delivering the best advice and solutions to clients. Achieving these objectives requires us to identify, develop and retain the best talent. A workforce comprised of people with varied backgrounds and experiences creates a rich diversity of thought that empowers us to challenge conventional wisdom, as diverse perspectives lead to better decisions.Our appreciation of diversity’s strength is ingrained in our multicultural heritage. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respect for individual differences, which has been core to our success for 175 years.The ongoing cultivation of an inclusive culture are essential to our continued growth. We are committed to sustaining an environment in which all employees – regardless of socioeconomic status, race, ethnicity, nationality, religion, gender, gender expression, sexual orientation, physical abilities, veteran or military status – can maximize their individual potential, as well as our collective success.