Machine Learning Engineer Intern

Our Team

We advocate for travels positive impact on the world guided by an engaging culture rooted in established company values. We empower our people to innovate and grow.

Our differences give us growth. Our diverse workforce originates from more than 50 countries bringing together a depth of perspective and curiosity about the world. We encourage a culture of openness curiosity and flexibility vital to deepening a shared understanding of our customers and each other.

We have a flexible hybrid model working from our Utrecht HQ and our homes in the Netherlands.

Just as travel is about discovery were searching for the right people to join our team. Are you ready to inspire the world through travel

What youll be doing

Youll be joining the Business Intelligence team whose goal is to provide accurate information that promotes a data-driven culture and provides actionable insights about business processes and strategies within Eurail.

Youll be involved in the development and refinement of several prediction models to better incorporate machine learning capabilities within Eurail and enhance our insights-driven culture. This also includes:

• Building and evaluating machine learning models to forecast business-relevant metrics (e.g. future traveler volumes)

• Applying machine learning principles to experiment with different model types and improve predictive accuracy

• Transforming and preparing data for modeling using ETL tools and best practices with support from BI Engineers

• Creating and maintaining necessary data pipelines and connections between data sources and ML models

• Collaborating with BI Engineers to connect model outputs to Power BI for use in dashboards and business reporting

• Identifying data quality issues and collaborating with the BI Architect to address and communicate them

• Participating in stakeholder meetings (with support from analysts and BI Engineers) to understand business requirements and align modeling efforts with strategic goals

• Documenting model logic decisions and assumptions to support transparency and reproducibility

• Staying up to date with new ML techniques and proposing potential improvements to existing workflows

What were looking for in you

Were looking for skilled students who go One Stop Further and have the same mindset as us being forward-thinking results-driven caring and embracing diversity.

In terms of your study area and skills were looking for;

• Currently enrolled in a Masters program in Data Science Computer Science Statistics or a related field

• Solid understanding of machine learning principles and basic operations research concepts

• Proficient in Python and SQL; comfortable working with data structures functions and tools like Jupyter or VSCode

• Exposure to time series forecasting techniques (e.g. ARIMA Prophet XGBoost LSTM) and understanding of trend and seasonality patterns

• Familiar with model evaluation metrics such as MAE RMSE MAPE and R

• Experience with version control tools like Git and GitHub (branches pull requests etc.)

• Exposure to business intelligence tools such as Power BI Tableau or similar

• Familiarity with cloud platforms (especially AWS) and tools such as S3 and Athena

• Solid foundation in statistics probability and linear algebra

• Proficient analytical and problem-solving skills with an ability to work through ambiguity

• Effective communication skills both written and verbalable to explain technical concepts to non-technical stakeholders

• Proactive curious and motivated to learn in a real-world environment

• Fluent in English both spoken and written

In addition it is beneficial if you have a love of sustainable travel!

Our offer

• A generous Internship allowance as well as a commute allowance and paid time off.

• A free global travel pass for you and a companion on completion of your internship so you can explore Europe with your family or friends and share the same experiences as our customers

• Joining monthly borrels and other social events

• The flexibility to manage when and where you work with our hybrid way of working

• The opportunity to make a visible contribution alongside gaining valuable experience for your future endeavors

• Room to develop your communication and collaboration skills by working with your team and internal stakeholders

Curious to apply

Apply directly via our website ( ask you to share your resume in English (our business language) and tell us why youre interested in Eurail and this particular role. It doesnt hurt to be creative; we enjoy seeing your personality shine through.

If we think you might be a good candidate the next step is a relatively informal interview with some of your potential new team members. For you this is a chance to understand if Eurail is your ideal workplace and for us it tells us more about the value you would bring.

In the meantime

If youre curious why not check us out onLinkedInand get a feel for our culture values and place worldwide And were happy to answer any questions you might have too send them over toand our People & Culture team will pick them up. While youre hereexplore our travel passes and get inspired for your next journey at.