Data Science Intern

Europe • Vor Ort • Einstieg • 06.07.2026
Data Science
Auf einen Blick

Data Science Internship mit Fokus auf Lernzyklus von Business-Problem zu ML-Modell-Deployment. Rolle erfordert statistische Tiefe und praktische Coding-Fähigkeit.

💰 $25.000–40.000/Jahr 🕒 Praktikum 🌍 Remote 🗺️ EMEA
  • Abschluss in Ökonomie, Statistik, Mathe, CS, Engineering oder Physik von führender Uni
  • Mathematisches und statistisches Verständnis
  • Coding und Daten-Erfahrung
  • SQL, Git, oder Cloud Infrastructure Bonus
Data Science Machine Learning SQL
✅ Geeignet für
  • Neugraduierte mit Statistik/Mathe-Vertiefung
  • Studenten interessiert in Business-Impact-fokussierter DS
  • Analysten-Track zum Data Science
🚫 Weniger geeignet
  • Anfänger ohne mathematischem Hintergrund
  • Pure-ML Researcher ohne Business-Fokus
  • Kandidaten ohne Coding-Erfahrung
💡 Gut zu wissen
  • Internship kann zu Full-Time führen – gutes Performance-Trampolin
  • Business Impact ist das Ziel – nicht Publikationen
  • Year-round Applications – Summer oder Off-Cycle Timing möglich
Data Science Interns at QuantCo will learn what it takes to create impact from data: identifying the right framework and questions to translate a business challenge into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.
Data Science Interns at QuantCo will learn what it takes to create impact from data: identifying the right framework and questions to translate a business challenge into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.
What we offer

You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, relocation and housing support along with additional location-based benefits. We accept internship applications year-round for summer and off-cycle periods.

About QuantCo
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
 
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
 
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
 

We are looking for team players who have excellent quantitative abilities and:

  • A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university
  • In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and an interest in causal inference questions
  • Experience in coding and working with data (from a previous research or industry internship or extensive course projects)
  • Ability to see solutions and opportunities that others do not see
  • High level of commitment and reliability, good balance of pragmatism and perfectionism
  • Business proficiency in English
  • Bonus if skilled in any of the following tools and/or languages:

  • SQL
  • Git
  • Cloud infrastructure