Data & Analytics Intern: Build Data Pipelines & AI

Amgen Inc.; Nederland; Hybrid; EUR 11,000 - 14,000; Full time

Job summary

Amgen Inc. is seeking a Data & Analytics Product Team Intern to help turn data into practical business solutions across Operations, Engineering, and Supply Chain.

You will contribute to real projects at the intersection of data engineering, analytics, and AI. This 6-month internship offers hands-on experience with Databricks, Python, SQL, Power BI, and AI-assisted development tools, in a global biotechnology context.

Qualifications

• Pursuing a degree in a data-related field and available for 6-month internship.
• Experience with Python, SQL, or Power BI through coursework or projects.
• Enjoy analyzing data and developing practical solutions.
• Excellent English communication, able to explain concepts to technical and non-technical audiences.
• Able to take ownership while collaborating within a team.
• Attention to quality, testing, and documentation.
• Databricks, ML, or AI-assisted tools experience is a plus.

Responsibilities

• Build and improve data foundations, datasets, and data pipelines.
• Develop analytics solutions and dashboards to support decision-making.
• Explore AI and conversational analytics, including talk to your data capabilities.
• Create interactive data applications using modern development and AI-assisted tools.
• Partner with stakeholders to translate requirements into practical solutions.
• Test, document, and validate solutions to ensure business value.

Skills

Data analytics

Python

SQL

Power BI

Education

Pursuing degree in Data Science / Computer Science / IT / Engineering

Tools

Databricks

Job description

Amgen Inc. is seeking a Data & Analytics Product Team Intern to help turn data into practical business solutions across Operations, Engineering, and Supply Chain.

You will contribute to real projects at the intersection of data engineering, analytics, and AI. This 6-month internship offers hands-on experience with Databricks, Python, SQL, Power BI, and AI-assisted development tools, in a global biotechnology context.