Data Science Internship

About the role

Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.

We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

Our Values

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Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.

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Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.

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Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.

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Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.

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Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.

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Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

Where you’ll work:

This is a hybrid role and requires in-office collaboration in Ghent three times per week.

The Team or Role:

As a Data Scientist Intern on Tinder’s Modes team in Ghent, you’ll help build new ways for people to meet on Tinder, from group and shared experiences to new modes of using the app. You’ll work with product, engineering, and data science partners to understand how members use these experiences, define how we measure success, and turn insights into product decisions.

In this role, you will: -

Design and execute A/B experiments to measure the impact of product features and algorithmic changes.

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Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows, with a focus on standardization, automation, and clear documentation.

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Take a scoped analysis from question to recommendation, with guidance from your mentor.

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Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies.

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Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.

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Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements.