Junior Data Scientist

Kantar XTEL; Heverlee; Sur place; EUR 55 000 - 85 000; Plein temps

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

About XTEL

XTEL is a leading global revenue management solutions provider for consumer goods companies (CPG). We help our clients' businesses grow smarter, every day, through our holistic and proven digitalisation and change management approach. By combining state-of-the-art technology, deep industry expertise, and a proven approach to data and change management, XTEL's Revenue Management suite supports CPGs towards value realisation and profitable revenue growth.

Position Overview

The Data Scientist supports the design and delivery of analytics and machine learning solutions by working with complex datasets, building tailored models, and contributing to scalable data pipelines. The role collaborates closely with technical, functional, product, and client stakeholders to develop robust solutions and help standardize analytics practices across projects.

Key Responsibilities

• 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.

Qualifications

• 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.

A great candidate will have:

Nice to have:

• CPG / FMCG industry knowledge is an advantage.
• Experience with SQL for data manipulation and analysis.

Geographical Location:

• Belgium (Leuven — Hybrid)
• Hybrid work arrangements

What We Offer

• 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.

Equal Opportunities Statement

If you have strengths to share, we’d love to hear from you. We value diverse backgrounds and experiences, so don’t hesitate to apply even if you don’t meet all criteria.

XTEL is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.