Grab
Technology
IoTDataAnalysis-Intern
Neural analysis suggests this role is
optimal for internship candidates.
“IoT Data Analysis - Intern at Grab. Skills: Data analysis, Machine learning, Business intelligence. Analyze large datasets. Develop data models”
What You'll Achieve.
Improve data quality; Enhance model performance; Drive business insights
Industry & Context.
Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3.0 GPA, SQL proficiency, Python proficiency
Nice to Have
Master's degree preferred, Experience with cloud platforms, Experience with ML frameworks
What You'll Do.
Analyze large datasets
Automate data pipelines
Collaborate with engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Data scientists; Engineers
Communication Scope
Present findings
Full Job Description
About Grab and our workplace Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all. Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change. On the IoT team, you will dive deep into the data our devices generate and play a real part in turning it into meaningful impact. You will work alongside experienced data scientists and engineers to clean, analyse and mine large datasets, uncovering patterns that power use cases such as safe-driving analysis. This is a great opportunity to apply your data skills to real-world problems, learn how a large-scale data platform works, and grow under the guidance of a friendly team. If you are curious about data and excited by the potential of IoT, we would love to hear from you! The Day-to-Day Activities * Collect, clean and organise large datasets uploaded from IoT devices, such as sensor signals, GPS traces, images and videos. * Perform exploratory data analysis to identify patterns, anomalies and useful features in the data. * Support the team in building and evaluating data mining and machine learning models, for example for safe-driving analysis. * Create clear charts, dashboards and reports to communicate your findings to the team. * Write tidy, reproducible code and keep simple documentation of your work. * Collaborate with da
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