Junior Data Scientist - Hybrid, AI-Driven Impact

Kantar XTEL

Heverlee

Hybride

EUR 55 000 - 85 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Hybrid work arrangement
Competitive salary
Bonus scheme
International team

Résumé du poste

XTEL, Leuven-based, is seeking a Data Scientist to design and deliver analytics and ML solutions on complex datasets. You will work with cross-functional teams to build scalable pipelines and tailor models to project needs in a hybrid Belgium-based role.

The ideal candidate has 1–2 years in Data Science, strong Python and ML framework knowledge, and experience with cloud services and Databricks. Collaboration and clear communication are essential in this multidisciplinary environment.

Qualifications

  • Bachelor’s or Master’s in STEM fields.
  • 1–2 years in Data Science & Analytics.
  • Proficient in Python and ML frameworks.
  • Experience with cloud services for data pipelines.
  • Familiarity with Databricks.

Responsabilités

  • Analyze and preprocess complex data sets for analytics.
  • Develop, implement, and refine ML models.
  • Build robust, scalable data pipelines.
  • Collaborate with stakeholders to discuss results.
  • Integrate solutions with product teams.
  • Document processes and standardize analytics practices.

Connaissances

Machine Learning
Data Science
Python
OOP
Git
Cloud services
Databricks
Jupyter
VSCode
Team collaboration

Formation

Bachelor's or Master’s in STEM

Outils

scikit-learn
PyTorch
pandas
NumPy
Databricks
VSCode
Jupyter

Description du poste

XTEL, Leuven-based, is seeking a Data Scientist to design and deliver analytics and ML solutions on complex datasets. You will work with cross-functional teams to build scalable pipelines and tailor models to project needs in a hybrid Belgium-based role.

The ideal candidate has 1–2 years in Data Science, strong Python and ML framework knowledge, and experience with cloud services and Databricks. Collaboration and clear communication are essential in this multidisciplinary environment.

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