Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.
The Lazard AI and Data Group brings together data scientists, data engineers, AI engineers, and software engineers to develop advanced AI and data-driven solutions that enhance decision-making across Lazard’s Financial Advisory and Asset Management businesses. The team delivers practical insights and technology that support client engagements, strengthen strategic partnerships, and help the firm remain competitive and efficient in a rapidly evolving financial landscape.
Operating as Lazard’s internal innovation engine, the group identifies opportunities to improve business processes through technology and develops solutions from end to end—from concept development and design through deployment, performance analysis, and continuous iteration.
The Data Scientist Summer Intern at Lazard will work within the AI & Data Team. The primary responsibility is to help analyze large-scale data sets in finance and extract insights that add value to the business. The Data Science Summer Intern will have the opportunity to work closely with data scientists, investment bankers, portfolio managers and senior management across the Firm.
We’re all-in on the cloud and are a leader in the adoption of new technologies. Successful candidates should have a strong quantitative background, including solid statistical modeling skills and hands-on programming experience.
Eligibility Criteria:
- Ability to start internship June 7, 2027 and end August 13, 2027
- Ability to be in NYC for the duration of the internship
In addition to above, we will also need to see:
- A Bachelors or advanced degree in Data Science, Computer Science, Statistics, Quantitative Finance, Business Analytics, or equivalent.
- Strong programming skills in Python. Experience with object-oriented programming preferred.
- Excellent knowledge of machine learning algorithms and strong statistical/econometric modeling skills.
- 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.
- Familiar with large language model (LLM) frameworks.
- The ability to work both independently and as a team player.
Strong interest or previous experience in finance preferred.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.
Skills Required
- Ability to start the internship June 7, 2027 and end August 13, 2027
- Ability to be in New York City for the duration of the internship
- Bachelor’s or advanced degree in Data Science, Computer Science, Statistics, Quantitative Finance, Business Analytics, or equivalent
- Strong programming skills in Python
- Experience with object-oriented programming
- Excellent knowledge of machine learning algorithms
- Strong statistical and econometric modeling skills
- Ability to query and analyze data from large-scale databases
- Prior experience in big data engineering
- Experience with data visualization and communicating technical results to a non-technical audience
- Familiarity with large language model frameworks
- Ability to work independently and as part of a team
- Strong interest or previous experience in finance
Lazard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lazard and has not been reviewed or approved by Lazard.
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Fair & Transparent Compensation — Pay is considered competitive for the industry, with total compensation bolstered by meaningful bonuses in revenue‑generating roles. Feedback suggests many view base pay as fair for the role.
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Healthcare Strength — Medical coverage includes low‑deductible plan options, HSA funding, and coverage for IVF and Lasik. Dental and vision include orthodontia with allowances for eyeglasses or contacts.
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Parental & Family Support — Fully paid parental leave, substantial adoption/surrogacy reimbursement, and fertility and family‑building benefits are offered. Backup care, lactation support, and related programs extend support for parents and caregivers.
Lazard Insights
What We Do
Lazard, one of the world's preeminent financial advisory and asset management firms, operates from more than 40 cities across 25 countries in North America, Europe, Asia, Australia, Central and South America. With origins dating to 1848, the firm provides advice on mergers and acquisitions, strategic matters, restructuring and capital structure, capital raising and corporate finance, as well as asset management services to corporations, partnerships, institutions, governments and individuals. For more information on Lazard, please visit www.lazard.com. Follow us at @Lazard. Social Media Disclosure: https://www.lazard.com/social-media-disclosure/
