Internship - Data Analysis and Machine Learning (Set-Feb)

Career Category

Job Description

At Amgen our shared mission to serve patients drives everything we do. Its what has made us one of the worlds leading biotechnology companies reaching over 10 million patients globally. Through this internship opportunity youll gain meaningful hands-on experience in a high-impact environment helping you grow into the professional youre meant to become.

At Amgen Breda medicines are labeled assembled stored and shipped to countries all over the world. Every day more than 1000 people from 38 nationalities work together in supply chain manufacturing quality marketing sales and clinical research.

LIVE

This could be your everyday

This project is part of the IIOT (Industrial Internet of Things) Data Analysis and Machine Learning initiative aligned with the organizations broader Reliability efforts. The intern will work on analyzing data from compressors pumps and assembly systems to gain actionable insights into equipment health and performance. By applying advanced machine learning techniques and building visualization dashboards the intern will help drive predictive maintenance strategies detect anomalies early and ultimately improve the reliability and efficiency of production systems.

Key Responsibilities

• Collect preprocess and analyze system data including vibration temperature and force/load measurements.
• Understand the underlying system and machine behavior to interpret datasets effectively.
• Propose suitable machine learning models with emphasis on anomaly detection and probabilistic models.
• Develop train and validate machine learning models for predictive maintenance and fault detection.
• Build production-level Python code for deploying models in real-world settings.
• Build and implement dashboards for monitoring sensor data and model outputs using Grafana.
• Collaborate with engineering and data science teams to align results with production needs.

WIN

What we expect of you

Were looking for students with a passion for learning and a strong motivation to support our mission to serve patients. To succeed in this role you should have:

Requirements

• Education: Currently pursuing or completed MSc/BSc in Computer Science Machine Learning or Engineering disciplines such as Mechanical Mechatronics Electrical or Industrial Engineering (with relevant experience in systems sensors and data analysis).
• Programming: Proficiency in Python (pandas scikit-learn PyTorch/TensorFlow etc.).
• Machine Learning: Knowledge of anomaly detection methods probabilistic models and practical model deployment.
• Data Visualization: Experience with Grafana for building dashboards and visualizing time-series data.
• Systems Knowledge: Ability to interpret physical machine behavior through sensor data (e.g. pumps compressors assembly systems).
• Software Engineering & DevOps:
  • Strong experience in writing clean production-level code.
  • Proficiency with Git for version control and collaborative development.
  • Familiarity with DevOps practices for deployment monitoring and scalability.

Desired Skills (Nice to Have)

• Experience in predictive maintenance applications or similar industrial data use cases.
• Previous work in building real-time dashboards or integrating with IoT platforms.
• Knowledge of AVEVA PI System.

THRIVE

What we offer

As we develop treatments that take care of others we are also committed to caring for the growth and well-being of our people. Amgen was named the Worlds Best Workplace 2021 for a reason.

Youll benefit from:

• Full support and career development resources to expand your skills and potential.
• A diverse and inclusive culture where your ideas matter.
• A monthly internship allowance and access to Amgens full internship program including New Hire Orientation Lunch & Learn sessions and a Final Poster Session.
• A focus on vitality and well-being with access to our on-site gym vitality program and healthy food options in the restaurant.
• A hybrid working model with flexibility between working from home and on-site.
• The opportunity to apply for future positions within Amgen upon successful completion of your internship.

Please note:
To be eligible for this internship you must be currently enrolled at a Dutch university.