As an Intern you will:
- Immerse yourself in the IP teams diverse work processes including but not limited to:
>> Decision making in placing orders for spare parts
>> Analyzing spare parts usage patterns
>> Tracking & analyzing spare parts for project needs
>> Identification & targeted monitoring of high-demand spares
>> Tracking contract consumption and expiry
- Propose innovative solutions to automate tasks enhance productivity and streamline workflows.
- Develop data-driven solutions to support and improve decision-making.
What you can expect during the internship:
- Acquire comprehensive knowledge of supply chain management including demand and supply planning inventory management and warehouse operations.
- Engage with real-world complex data and develop skills to analyze large data sets from Hive data warehouse.
- Master and implement cutting-edge digital and process automation tools such as UiPath Power Automate Power Apps Power BI dashboards Python for data analytics and Generative AI.
What we are looking for:
- Currently pursuing a Degree in Computer Science
- Able to commit to a 6-month internship
- Familiarity with Python programming tool: jupyter notebook
- Familiarity with Robotic Process Automation tool: UiPath
- Proficiency in Microsoft 365 tools: Excel Words PowerPoint Power Automate Power Apps etc.
- Familiarity with Dashboard visualization tool: Power BI
This internship offers a unique opportunity to gain hands-on experience in a fast-paced environment enhance your skillset and make a tangible impact on our inventory management processes. Join us to work with a dynamic team contribute to significant projects and develop highly valued skills in todays data-driven world. Apply now and be a part of the IP teams success story!
*Please state your full-time internship availability in your CV. Only shortlisted candidates will be notified.
Required Experience:
Intern
As an Intern you will:- Immerse yourself in the IP teams diverse work processes including but not limited to:>> Decision making in placing orders for spare parts>> Analyzing spare parts usage patterns>> Tracking & analyzing spare parts for project needs>> Identification & targeted monitoring of high...
As an Intern you will:
- Immerse yourself in the IP teams diverse work processes including but not limited to:
>> Decision making in placing orders for spare parts
>> Analyzing spare parts usage patterns
>> Tracking & analyzing spare parts for project needs
>> Identification & targeted monitoring of high-demand spares
>> Tracking contract consumption and expiry
- Propose innovative solutions to automate tasks enhance productivity and streamline workflows.
- Develop data-driven solutions to support and improve decision-making.
What you can expect during the internship:
- Acquire comprehensive knowledge of supply chain management including demand and supply planning inventory management and warehouse operations.
- Engage with real-world complex data and develop skills to analyze large data sets from Hive data warehouse.
- Master and implement cutting-edge digital and process automation tools such as UiPath Power Automate Power Apps Power BI dashboards Python for data analytics and Generative AI.
What we are looking for:
- Currently pursuing a Degree in Computer Science
- Able to commit to a 6-month internship
- Familiarity with Python programming tool: jupyter notebook
- Familiarity with Robotic Process Automation tool: UiPath
- Proficiency in Microsoft 365 tools: Excel Words PowerPoint Power Automate Power Apps etc.
- Familiarity with Dashboard visualization tool: Power BI
This internship offers a unique opportunity to gain hands-on experience in a fast-paced environment enhance your skillset and make a tangible impact on our inventory management processes. Join us to work with a dynamic team contribute to significant projects and develop highly valued skills in todays data-driven world. Apply now and be a part of the IP teams success story!
*Please state your full-time internship availability in your CV. Only shortlisted candidates will be notified.
Required Experience:
Intern
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