Data Science Internship

Matchgroup
Ghent, Belgium
HybridCareer-pivot friendly

Who this role is best for

Strong fit for candidates pursuing advanced degrees in quantitative fields who can execute A/B experiments and collaborate across teams, working in a hybrid setup in Ghent.

Best fit for

  • Candidates with advanced degrees in quantitative fields and a demonstrated ability to execute A/B experiments
    — “Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.”
  • Individuals comfortable with AI-assisted workflows and capable of translating data into actionable product insights
    — “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.”
  • Candidates who can thrive in cross-functional collaboration and deliver clear, impactful narratives from data
    — “Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies.”

Things to consider

  • Requires in-office presence three times per week despite being a hybrid role
    — “This is a hybrid role and requires in-office collaboration in Ghent three times per week.”
  • Candidates must have intermediate to advanced SQL skills and a strong foundation in statistics
    — “Intermediate to advanced SQL skills for data querying and analysis.”

How to stand out

  • Highlight experience with A/B testing frameworks and clear communication of data-driven insights
    — “Design and execute A/B experiments to measure the impact of product features and algorithmic changes.”
  • Demonstrate proficiency in Python and familiarity with AI tools in your project examples
    — “Familiarity with / building to proficiency in Python.”
  • Showcase your ability to work with cross-functional teams and present findings effectively
    — “Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful A/B experiments
  • improved product features
  • positive user experience improvements
Typical background
data sciencecomputer scienceeconomics

Skills & requirements

Required

SQLPythonStatisticsProbabilityA/B TestingHypothesis Testing

Preferred

Ai-assisted WorkflowsMachine LearningNetwork EconomicsBehavioral Science

Stack & domain

A/B ExperimentsSQLPythonStatisticsProbabilityExperimental DesignAi-assisted WorkflowsData Querying And AnalysisLarge-scale Datasets AnalysisCommunicationCuriosityFast LearningTeamworkProblem SolvingAdaptabilityData ScienceAIMachine LearningBehavioral ScienceNetwork Economics

About the role

Original posting from Matchgroup via Lever

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.

#Tinder

Source: Matchgroup careers (Lever)

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