About The Position

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. 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.

Requirements

  • At least two years completed towards your Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
  • Familiar with programming languages such as Python, R, or SQL, and basic knowledge of data manipulation and visualization tools like Tableau or Looker.
  • Interest in predictive modeling, machine learning, and data-driven marketing strategies.
  • Strong interest in digital marketing, with a focus on acquisition strategies.
  • Familiarity with digital marketing platforms such as Google, Meta or TikTok
  • Analytical mindset with the ability to interpret data and draw meaningful conclusions.
  • Excellent written and verbal communication skills.
  • Creativity and willingness to contribute ideas to marketing campaigns.
  • Enrollment in a 4-year undergraduate degree program
  • Graduating in Dec 2027 – July 2029 (U.S.)
  • Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

Responsibilities

  • Support Predictive Modeling & Advanced Analytics: Assist in building and refining predictive models that forecast customer behaviors such as churn, lifetime value, and purchase propensity. Participate in data preparation, model training, and validation efforts.
  • Assist with Marketing Spend Analysis & Optimization: Work on media spend attribution models, help structure data for analysis, and assist in scenario planning for marketing optimization.
  • Data-Driven Insights: Support the analysis of large datasets to derive insights about customer segments, behavior patterns, and marketing performance. Contribute to personalizing marketing campaigns through data-driven insights.
  • Collaborate Across Teams: Work closely with marketing, sales, and product teams to understand their data needs. Help communicate data insights and recommendations to different stakeholders.

Benefits

  • comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
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