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Office: New York, NY

Department: Data Science

Job Description

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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

The New York Times is seeking inventive and motivated interns to join the Data Science group. In this role, you will reframe newsroom and business objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.

About Us

The New York Times is a technology company committed to producing the world’s most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company. The Times seeks a Data Scientist Intern for the summer of 2026 to join the Data Science Group applying machine learning methods to meet this challenge, in close collaboration with working partners across the company.

Check out the Times Open blog to see what we’re up to.

About Our Team

We implement and execute machine learning research with reliability and reproducibility. We communicate results and impact to newsroom and business stakeholders. Our group turns models into data products, collaborating with engineering teams, and integrates these into process throughout The Times.

As a Data Science Intern, You Will

Develop and deploy machine learning solutions to newsroom and business problems
Work with Python, scikit-learn, and Google Cloud Platform
Communicate the results of your analyses to other members of the organization in a clear and concise fashion

Basic Qualifications

You have experience in computer science, applied mathematics, or other quantitative or computational disciplines.
You have experience with open source machine learning or statistical analysis tools.
You have coding experience, Python preferred.
You have demonstrated the ability to communicate complex ideas in data science to relevant stakeholders.
You share our commitment to The Times’ mission of delivering the world’s best and most reliable journalism.
You are eager to collaborate with both technical and non-technical colleagues in editorial, product management, marketing, and executive leadership groups.

Preferred Qualifications

You have experience with experimental design.

The hourly rate of base pay for this role is:

$40—$40 USD

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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