Student Data Scientist - Content

When travelers are searching for a hotel, we want the obvious choice to be trivago! By comparing prices from major booking sites, we're making it easy for people to find hotels they want at a price they'll love. In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. A career at trivago is a journey designed for people who crave continuous development and want to thrive in a high-performing team. Here you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!

Join us in making a difference

Are you a self-motivated and detail-oriented individual with a passion for data? Our Content Data Science (Insights) team builds innovative solutions that make hotel discovery engaging for millions of travelers worldwide — helping them make fast and informed decisions on where to stay. We're looking for a dynamic team player with an analytical mindset and a practical business sense to support data analysis and entry-level data science work across impactful projects. At trivago, you'll be part of a team that holds high standards and genuinely invests in your growth — we believe the best results come from people who feel supported to do their best work. If you're ready to apply your skills to real-world challenges and grow alongside experienced data scientists, product managers, and engineers, we'd love to hear from you. Apply today!

Get an inside look at data science at trivago:

How you’ll make an impact:

• Support product managers by preparing business analyses and project documentation.
• Apply your analytical and data science skills to explore our data and deliver meaningful insights.
• Collaborate with engineers and analysts to improve processes and better measure key performance indicators.
• Explore and analyse hotel and location data to uncover patterns and surface meaningful insights that inform product decisions.
• Build and maintain dashboards to measure, monitor, and communicate the quality and performance of our content data.

What you will learn:

• How data and our business impact the travel industry.
• How to sharpen your time management and organisational skills.
• How a data-driven company works internally and how decisions are made.
• How to contribute and work closely with a team of experienced developers, data scientists, and product managers.
• How to collaborate effectively within a dynamic and international team.

What you'll need to thrive:

• Familiarity with Python, Pandas, and Jupyter Notebooks, along with working knowledge of SQL.
• Strong communication skills and a sharp attention to detail — you can spot inconsistencies in data and turn them into improvement points.
• A genuine learning mindset — you approach challenges with curiosity, actively seek feedback, and are eager to grow through hands-on experience.
• A performance mindset — you take ownership of your work, set clear goals for yourself, and follow through with determination.
• An open and curious mindset toward AI tools and automation — you see AI as a force multiplier for how data science and analytics can operate at scale, and you're excited to develop alongside evolving technologies, engaging with it thoughtfully and with the right guardrails.
• Currently enrolled at a German university (Immatrikulationsbescheinigung required).

Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future. Your application does not need to include a photo.
This is the recruitment process that you can expect for this role (subject to modifications):

• Hireflix: One-way video interview
• Screening call – Recruiter / HM
• Technical Interview with live coding exercise with the team
• Interview with stakeholders

What you can look forward to:

At trivago, you'll work with petabytes of real travel data, modern ML infrastructure, and a team that values technical depth and continuous learning — here's what else you can expect:
Real scale, real ownership.
You'll work with petabytes of live travel data in production systems — and because our teams are lean, your scope is meaningful from day one.
Work that sits at the core of the product.
DS&A at trivago is not a support function: your models and analyses directly shape the marketplace outcomes that matter to travelers and to the business.
Measured on impact, not sophistication.
You own your work end-to-end and are evaluated on the outcomes you drive — not on the complexity of the methodology behind them.
As you grow, so do we.
This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.
Enjoy your office days.
Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, choose from a variety of fitness options with our on-site gym, sports classes, and Urban Sports Club membership, and enjoy the comfort of ergonomic desks and focused work areas.
Life happens.
We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year. You also get free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.

Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at [email protected] . Join us in our mission to make a positive impact on global travel, w e look forward to your application!

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