Intern Data Science (all genders)

You'll join our Data Science team within the Business Intelligence department — a group of skilled, passionate data scientists who own Holidu's machine learning and advanced analytics use cases. You'll work directly with experienced data scientists — within and across our cross-functional teams — on topics like rankings and recommendations, user segmentation, cancellation predictions, price optimization, user lifetime value, and business forecasts. You'll work with a large and rich dataset, fast paths from concept to production — and everyone, including interns, is encouraged to bring their own ideas.

Holidu is an AI-first company, and it shows in how we work: your work stays grounded in machine learning and statistics, but you'll have large-scale access to the best AI tools and the freedom to weave them into how you work. There are few better places to learn how modern, AI-first data science is actually practiced.

This role is based in Munich with two office days/week.

We love technology that solves real problems. You'll work with:

• Flexible data science environment (Python, SageMaker)
• Database: AWS Stack (Redshift, Athena, Glue, S3)
• Data Pipelines: Airflow, dbt
• Experimentation & MLOps: MLflow
• Data Visualization: Looker, HTML dashboards (AI-generated)
• Data Analytics: SQL, Python
• Collaboration: Git

You'll take an active part in projects with direct impact on business outcomes like guest conversion, host revenue, and marketing efficiency — supported and mentored by experienced data scientists, and learning from a diverse team across Data Science, Analytics, and Engineering. Concretely, you will:

• Build machine learning models alongside your mentors — e.g. forecasting, churn prediction, recommendation systems, segmentation — using Python and SQL.
• Dig into large, real-world datasets in our AWS environment (Redshift, Athena, S3) — exploring, cleaning, and transforming data that millions of bookings run on.
• Run exploratory analyses to uncover patterns, generate hypotheses, and challenge what we think we know.
• Help evaluate model performance and interpret results in a business context.
• Collaborate with teams such as Product, Marketing, and Revenue Management to translate their challenges into data science use cases.
• Take ownership of your own project or work stream — with experienced data scientists backing you up, you'll drive it from start to finish.
• Use AI tools throughout your workflow — automating repetitive tasks, speeding up your analysis, and learning what AI-first work really looks like.

• Participate in team rituals and knowledge sharing — and help shape how we work.

• You're in the final stage of a Bachelor's or Master's degree in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, Physics or similar) — or recently graduated — with a strong academic record.
• Hands-on experience from coursework, your thesis, or personal projects — you can walk us through something you've built and the choices you made (industry experience is a plus, not a requirement).
• A solid grasp of Python and SQL.
• Foundational knowledge of statistics and machine learning (e.g. regression, classification, evaluation metrics).
• Familiarity with tree-based models (e.g. XGBoost, LightGBM) is a plus. 
• Strong analytical and problem-solving skills, with attention to detail.
• A proactive mindset and eagerness to learn in a fast-paced environment.
• Curiosity for AI tools and how they can make your work smarter and faster.
• Availability to work full-time for the full 6 months.

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a corporate Urban Sports Club subscription or a premium gym membership at a discounted rate.

• Check out the adventure that awaits you on Instagram @lifeatholidu.
• See also what Life as an intern looks like at Holidu.