Junior Data Scientist

XTEL

Junior Data Scientist at XTEL in Leuven turning data into ML value and collaborating across teams. In a hybrid, inclusive, AI-driven environment, focusing on analytics solutions.

Posted 7/21/2026full-timeLeuven • 🇧🇪 BelgiumJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Analytics, with a strong focus on Machine Learning model development and implementation. Proficient in Python and key frameworks, capable of collaborating effectively within multidisciplinary teams to deliver robust analytics solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingData Pipeline DevelopmentCloud Services ExperienceSQL for Data Manipulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningArtificial IntelligenceOperations ResearchObject-Oriented ProgrammingData ManipulationModel ValidationModel TuningAnalytical SkillsCritical Thinking

Soft Skills

Team CollaborationClear Communication

Tools & Technologies

Scikit-learnPyTorchPandasNumPyDatabricksVSCodeJupyter NotebooksGit

Industry Keywords

STEMCPGFMCG

Tech Stack

Tools & technologies

CloudNumpyPandasPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Analyze and preprocess complex data sets from various sources to prepare them for analytics solutions.
Develop, implement, and fine-tune machine learning models tailored to specific project needs.
Collaborate with the team to build robust and scalable data pipelines.
Participate in client meetings to discuss technical results and gather feedback.
Work together with the functional team involved in the project, including business experts and the project manager.
Work together with the product team to integrate developed solutions into our products.
Document processes and contribute to the standardization of analytics solutions.

Requirements

What you’ll need

Bachelor’s or Master’s degree in STEM fields, such as Mathematics, Statistics, Computer Science, Engineering, or related disciplines.
1-2 years of work experience in Data Science and Analytics.
Knowledge for Data Science, including Machine Learning, Artificial Intelligence, and Operations Research.
Knowledge of Python and main Machine Learning frameworks, such as scikit-learn, PyTorch, pandas, and NumPy.
Experience with object-oriented programming.
Experience in developing, validating, and tuning Machine Learning models.
Experience with cloud services to store data, build automated pipelines, and run analytics or machine learning solutions.
Experience with Databricks.
Familiarity with development tools such as VSCode or other IDEs, and Jupyter notebooks.
Knowledge of Git, including push, pull, fetch, and merge.
Ability to work in multidisciplinary teams and communicate complex results clearly.
Analytical skills with a critical thinking attitude.
Proficient in English.
Nice to have: CPG / FMCG industry knowledge is an advantage.
Experience with SQL for data manipulation and analysis.

Benefits

Comp & perks

Hybrid working set-up; 🏡
Flexible working hours; ⌚
Competitive Salary Package and Bonus scheme; 💸
A challenging role in a fast-growing AI-driven company; 🪄
A diverse and international team with strong ownership and a can-do mentality. 🌏
Opportunities to contribute meaningfully to the organization’s growth and development. 🚀