Asset Management Intern: Data-Driven Maintenance Alerts

Norsk Hydro; Oslo; On-site; NOK 201,000 - 312,000; Part time

Job summary

Norsk Hydro in Oslo offers an internship in the TOP Asset management team focused on data analytics, asset reliability, and digital maintenance. You will work with end users to understand how technology supports maintenance, asset management, and operational performance.

During the internship you will analyze maintenance data, design anomaly detection models, develop analytics solutions using Python and PySpark, and create data visualizations to reveal asset health.

Qualifications

• Master's degree in Robotics and Automation, Maintenance Engineering with a focus on Data Analytics, or Engineering with a focus on Programming, Machine Learning, Data Analytics.
• Experience with automation and programming, data engineering, and cloud-based technologies.
• Experience with analytic tools and presentations.

Responsibilities

• Analyze operational and maintenance data to identify trends and opportunities.
• Design and implement anomaly detection models and early warning systems.
• Develop analytics solutions using Python and PySpark for data processing, modeling, and predictive maintenance.
• Create and optimize Kusto Query Language (KQL) queries to extract and visualize large datasets.
• Develop and enhance data visualizations showing asset performance and health.

Education

Master's degree in Robotics and Automation or related Engineering with Data Analytics focus

Tools

Python

PySpark

Databricks

Azure

Kusto Query Language

KQL

Data Visualization

Job description

Norsk Hydro in Oslo offers an internship in the TOP Asset management team focused on data analytics, asset reliability, and digital maintenance. You will work with end users to understand how technology supports maintenance, asset management, and operational performance.

During the internship you will analyze maintenance data, design anomaly detection models, develop analytics solutions using Python and PySpark, and create data visualizations to reveal asset health.