Graduate Data Programme - Berlin
Posted about 2 months ago
Graduate Data Programme (Berlin)
LIGHTHOUSE FOR TALENT
You’re excited about data, but not just dashboards or isolated models. You want to understand where data comes from, how it’s shaped, and how it ultimately drives real decisions and products used by millions.
At Trade Republic, we’re on a mission to empower everyone to create wealth with easy, safe and free access to the financial system. Millions of customers trust us with tens of billions of euros. Data sits at the core of how we build responsibly, manage risk and continuously improve our products.
ABOUT THE TEAM
Our Data teams sit at the intersection of Product, Engineering, Risk and Operations.
We work on high impact problems, from improving customer journeys and optimising internal processes to building intelligent systems that support decision-making at scale. We care about clean data, thoughtful modelling and production-ready solutions.
As a graduate, you’ll work closely with experienced data scientists and engineers who will help you move from academic foundations to real world impact.
WHAT YOU’LL BE DOING
- Explore and analyse structured and unstructured datasets to uncover insights
- Use SQL and Python to query, clean and transform data
- Support the development and evaluation of machine learning models applied to real business problems
- Contribute to experimentation, forecasting or classification projects
- Assist in deploying and monitoring models in production environments
- Collaborate with Product and Engineering to translate business challenges into structured data problems
- Gradually take ownership of well scoped projects with measurable outcomes
You’ll learn how data moves from idea to implementation, and how to build systems that are reliable, scalable and impactful.
WHAT WE LOOK FOR
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Economics or a related field
- Strong foundations in statistics, analytical thinking and problem solving
- Experience using SQL and Python for data analysis or projects
- Exposure to machine learning concepts or data modelling, through coursework, research or internships
- Curiosity about how data systems are built, scaled and maintained
- Structured thinking and attention to detail
- Strong communication skills and comfort working in cross-functional teams
This programme is designed to turn strong foundations into real impact.
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
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Rebrandly is the market-leading platform that allows users to brand and shorten custom URLs, quickly and easily. Rebrandly is essential link management infrastructure for the global digital supply chain and the most secure (SOC2, HIPAA) AI-enabled platform for processing branded links at scale with real-time analytics and enterprise-grade features. Rebrandly helps companies grow traffic and revenue, improve deliverability, conversion, and retention rates, build brand trust, and track performance. Founded in 2015 and headquartered in the U.S., with offices in Rome and Dublin, Rebrandly serves millions of users and global brands worldwide, including Versace, Toyota, PayPal, Heineken, Okta, and Zillow. For more information, please visit www.rebrandly.com.
Key team members
Pascal Depuhl
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