Internship - Data Scientist
Hilversum, NL
CANAL+ NETHERLANDS B.V is looking for his new intern in Data Science, starting September 2025 for 6 months in our Hilversum office!
Our department specializes in leveraging advanced analytics to drive strategic decision-making and improve user engagement across our streaming services. The intern will use Generative AI and machine learning to segment customers into clusters and devise tailored activation strategies for each segment. Our international team combines diverse business and technical expertise, fostering innovation across a variety of projects. Notable initiatives include refining our churn prediction model and enhancing our recommendation system using Generative AI. We encourage continuous learning and collaborative problem-solving, supporting personal and professional growth.
What about the missions?
The intern will work on creating customer segmentation models using Generative AI and machine learning to tailor marketing strategies. Deliverables include data preprocessing scripts, model training and validation, and presentation of results.
- Preprocess and analyze customer data to identify distinct segments.
- Develop and tune machine learning models to predict customer behaviors and preferences.
- Utilize Generative AI techniques to simulate and predict customer responses to different activation strategies.
- Collaborate with the data science team to integrate models into the broader data ecosystem
- Prepare and present findings to stakeholders to inform business decisions.
Who are we looking for?
Hard Skills:
- Proficiency in Python and SQL for data manipulation and analysis.
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow).
- Familiarity with data visualization tools and techniques, particularly in PowerBI.
- Understanding data cleaning, preparation, and the use of statistical methods to analyze datasets.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills to effectively share findings.
- Ability to work independently and as part of a team.
- Curiosity and eagerness to learn about new technologies and methods.
We are looking for a candidate who is innovative and resourceful, with a strong aptitude for tackling complex problems. The successful candidate should possess a collaborative spirit and the ability to adapt in a fast-paced, evolving industry environment. Enthusiasm for understanding and utilizing emerging technologies in AI and machine learning as well as commitment to continuous professional development and a keen interest in contributing to meaningful projects are key!