Data Science Intern - 2026 Summer Intern

ADTM Adenza Technology de Mexico S de RL de CV • Atlanta, GA

2d • Hybrid

About The Position

Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys. We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research & Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment. At Nasdaq, you ’ ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you ’ ll support [team/business area] and gain hands-on experience with [specific products/projects/clients]. You don ’ t need to know everything on day one — we ’ ll help you build the skills, confidence, and network to grow your career.

Requirements

• Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis
• Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting
• Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.
• Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.

Nice To Haves

• Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.
• Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology
• Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS

Responsibilities

• Support the R&D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives
• Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.
• Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.
• Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders
• Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees