Summer 2027 Internship Program - Marketing Data Science Intern

Job Description

Summer 2027 Internship – Marketing Data Science Intern

Application Deadline: November 13, 2027 We encourage you to submit your application as early as possible, as internship applications are reviewed on a rolling basis.

AMER Internship Dates: June 7, 2027 – August 13, 2027 (You must be available to work full-time, in-office during this period.)

About Our Internship Program

Dow Jones Internship Program is a 10-week summer experience designed to give students real exposure to how . Our interns work on meaningful projects alongside our 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 Dow Jones Internship Program page to learn more and hear directly from past interns about their journeys. At Dow Jones, you’ll have the chance to start your career in an environment where collaboration, trust, and impact come first.

About the Role

As a Marketing Data Science Intern, you will collaborate with experienced data scientists and marketing professionals to support data-driven strategies for optimizing marketing effectiveness. You will work on projects that involve building and enhancing predictive models, analyzing customer behavior, and supporting marketing optimization efforts across our product lines. This is an excellent opportunity to gain hands-on experience in advanced analytics, machine learning, and data-driven marketing strategies while contributing to high-impact business outcomes.

This role is hybrid, based in our NYC - 1211 Ave of the Americas City office.

You Will

Support Predictive Modeli