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Data Science Internship

Pay
Pay not listed
Work setting
Hybrid — work setting source
Where you’ll work: This is a hybrid role and requires in-office collaboration in Ghent three times per week. The Team or Role:
Read the full posting
Employment
Internship — employment source
Employment type Internship
Employment type in the employer’s posting: Internship
From the employer’s posting

Before you apply

New graduates
For current studentsCurrently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field

What you’ll work on

Full posting
  • Design and run A/B experiments to measure feature and algorithm impact

  • Help build and improve experimentation and analytics tooling

  • Take scoped analyses from question to recommendation with a mentor

  • Present findings to Product and Leadership at end-of-internship demos

  • Explore large-scale datasets to find patterns and opportunities

From the employer’s posting
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
Take a scoped analysis from question to recommendation, with guidance from your mentor.
Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.
Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.
Education & alternatives
- 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:

About Match Group

As humans, there are few things more exciting than meeting someone new.

In the employer’s words · Read in context

Apply at Match Group

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 57.

At Match Group, jobs usually come down by about day 43.

From 10,789 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.

Match Group is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- 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).
- 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.

Your next step

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About Match Group

People
About 1,593 in 2024.Benefit plan filings (Form 5500)
Company
Listed as MTCH.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

Employment type

Internship

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Location & working pattern

Ghent, Belgium

Where you’ll work: This is a hybrid role and requires in-office collaboration in Ghent three times per week. The Team or Role:
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