About our group:

About the role - you will:

• Support in analyzing equipment performance data to understand downtime trends (OEE) and assist in visualizing these trends.
• Support in building and maintaining data pipelines for data processing tasks.
• Assist in preparing and cleaning data for analysis, under the guidance of experienced team members.
• Work on predictive modelling algorithms or solutions to predict preventative maintenance schedules, with supervision.
• Contribute to coding tasks and data source management, learning how to interpret Python code and perform updates on internal tools or websites.

About you:

• Strong analytical skills with a passion for working with large datasets and solving real-world problems.
• Understanding of machine learning concepts and their applications in real-world scenarios.
• Familiarity with cloud platforms and version control systems (e.g., Git).
• Understanding of managing data pipelines, Big Data Analysis and database development.

Your experience includes:

• Currently pursuing a diploma in Data Science, Engineering, or a related field.
• Familiarity with Python, machine learning algorithms, and data visualization tools.

• Experience with data analysis tools such as pandas, Num Py, or scikit-learn.
• Knowledge of predictive maintenance concepts or experience in a manufacturing environment.

Location: