Image: [EXP NL] Data Science Intern

[EXP NL] Data Science Intern

Premium
DHL Group·Maastricht, Netherlands

Global Talent

Get an international experience in a corporate environment.

English

These are the locally spoken languages that you’ll have to know.

Computer sciences, Mathematics

These are the backgrounds this opportunity is associated with.

1,400 EUR Per Month

This would be your gross salary for this job opportunity.
You'll be working at
DHL Group - Company Logo

About DHL Group

The DHL Group is the world’s leading logistics company. With about 550,000 employees in 220 countries and territories worldwide, we connect people and markets and drive global trade. Our culture is focused on personal commitment – to our customers, to each other, to our communities and to the environment. We are committed to creating a workplace that ensures mutual respect and is focused on results. We hire talented people from all backgrounds and have been partnering with AIESEC for over 20 years, bringing around 100 interns from all over the world to our locations every year. All of our AIESEC interns become part of Upgrade Program when they join the company. Upgrade Program will not offer you only an internship experience but also: • Mentorship program facilitated by AIESEC alumni to ensure a successful career plan in the DHL Group • Customized workshops and digital learning plan focused on our business’ most demanded skills • Exclusive networking spaces facilitated by the AIESEC community, designed to retain quality young talent in the DHL Group

Role

Responsibilities
  • Develop, train, evaluate, and optimize machine learning models to address marketing and business challenges, including customer propensity prediction, and customer lifetime value forecasting.
  • Apply supervised and unsupervised learning algorithms, such as classification, regression, clustering, and ensemble methods, to discover complex patterns and generate predictive insights.
  • Perform advanced data preprocessing, feature engineering, feature selection, and dimensionality reduction to prepare high-quality datasets for machine learning applications.
  • Design and implement customer segmentation models using clustering algorithms and behavioral data to support personalized marketing strategies and customer targeting. 
  • Explore and apply statistical modeling, hypothesis testing, causal inference, and experimental design techniques to evaluate marketing interventions and measure their effectiveness. 
  • Develop and validate predictive models using appropriate evaluation metrics, cross-validation techniques, and hyperparameter optimization to ensure model accuracy, robustness, and generalizability. 
  • Investigate applications of natural language processing (NLP) and generative AI to extract insights from unstructured customer feedback, reviews, and other marketing-related text data. 
  • Collaborate with technical and business stakeholders to translate complex marketing problems into data science solutions, document modeling approaches, and support model deployment, monitoring, and continuous improvement.

Working hours

Monday to Friday

9:00 am - 5:00 pm

Process

The steps involved in being selected for this opportunity.
Canada
Application process usually takes 40 days

  1. STEP 1

    Application Process: Current students or graduates who have not completed their studies more than 2 years ago.

  2. STEP 2

    CV Screening

  3. STEP 3

    Selection process

Logistics

What you’ll be provided with during your stay

Benefits of becoming a Global Talent

Apply your skills and knowledge in a practical environment.
International Exposure - Experience working in new cultures and industries.
Our programs can help you live the leadership values: (Activating Leadership, Acting Sustainably, Striving for Excellence, Living Diversity, Enjoying Participation and Demonstrating Integrity)
Receive AIESEC Support for Selection (assistance with your application to opportunities and selection process).
Depending on the opportunity, you will receive either a salary to cover your costs or be provided with accommodation for the duration of your experience abroad.

FAQs