Data Science Internship

Match Group; Oost-Vlaanderen; Hybrid; EUR 8,900 - 13,000; Full time

Job summary

Tinder is seeking a Data Scientist Intern for its Modes team in Ghent. You will collaborate with product, engineering, and data science to understand how members use new experiences, define success metrics, and turn insights into product decisions.

Responsibilities include designing experiments, building analytics tools, and translating insights into concrete roadmaps while presenting outcomes in demos to leadership. Pursue a BS/BA/MS/PhD in a quantitative field.

Qualifications

• Proficiency in SQL for data querying and analysis.
• Familiarity with or build proficiency in Python.
• Strong foundation in statistics, probability, and experimental design (A/B testing).
• Clear written communication and a curious, fast-learning mindset.

Responsibilities

• Design and execute A/B experiments to measure impact of product features and algorithmic changes.
• Help build and improve analytics tooling, including AI-assisted workflows, with emphasis on standardization and documentation.
• Translate data insights into actionable recommendations for product roadmaps and user experience.
• Collaborate with Data Science, Product, and Engineering to turn insights into strategy.
• Present findings to Product and Leadership during end-of-internship demos.
• Explore large-scale datasets to identify patterns and opportunities.

Skills

SQL

Python

Statistics

Experimental design

Communication

AI tools usage

Education

BS/BA in Computer Science, Data Science, Economics, Statistics, Applied Math, or related field

Tools

Python tooling

Job description

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

• 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.

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

• 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.

• 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.

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

• 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.

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

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

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

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

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

• Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.

You’ll Need:

• Passion for using data and experimentation to solve complex problems.
• Intermediate to advanced SQL skills for data querying and analysis.
• Familiarity with / building to proficiency in Python.
• Strong foundation in statistics, probability, and experimental design (A/B testing, hypothesis testing).
• Clear written communication and a curious, fast-learning mindset.
• Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow, and the judgment to check their output.
• Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.

As part of our team, you'll enjoy:

• The hustle of a startup with the impact of a global business
• Tremendous opportunity to solve some of the industry’s most exciting problems
• Working with an extraordinary team of smart, creative, fun and highly motivated people

Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

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