Working student Data Scientist (Academy)

Description

Are you a pro-active student with affinity with data science and are you looking for an opportunity to gain experience and make an impact? Then look no further and apply!! We are looking for a working student to support us to set up the foundation to measure the impact of learning in our organization. Our International team is based in 's-Hertogenbosch.

About GEA

• GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries. Approximately 18,000 employees in more than 60 countries contribute significantly to GEA’s success – come and join them! We offer interesting and challenging tasks, a positive working environment in international teams and opportunities for personal development and growth in a global company.

• Why join GEA

• GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.

Your profile and qualifications

• Educational background (bachelor or master) in Data Science or related studies

• Solid understanding of SQL, relational databases, and SSMS

• Experience with Power BI, DAX, and data visualization best practices

• Strong analytical thinking, attention to detail, and communication skills

• Self-organized, curious, and eager to learn new technologies

• An educational part-time job in an international team

• Opportunity to put your expertise into practice and make a difference

• Flexible working hours that suit your study

• Competitive compensation package

Your responsibilities and tasks

• Write and optimize SQL queries; clean and transform data

• Build dashboards and reports in Power BI using DAX and data modelling

• Connect Power BI to SQL Server, Excel, and Azure data sources

• Work with Microsoft Fabric tools and basic Azure services

• Apply ETL concepts and perform basic statistical data analysis