Grab

Technology

IoTDataAnalysis-Intern

Beijing, China INTERNSHIP
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for internship candidates.

The Brief

“IoT Data Analysis - Intern at Grab. Skills: Python, SQL, data analysis, data mining, machine learning. 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 co”

What You'll Achieve.

turning it into meaningful impact

Industry & Context.

Technology
Problems you'll solve

data mining; machine learning models; safe-driving analysis

What They're Looking For.

Must Have

Currently pursuing a degree in Computer Science, Data Science, Statistics, Engineering or a related field. Working knowledge of Python and SQL for data analysis. A solid foundation in statistics and basic data analysis. A genuine passion for data mining, with curiosity and a fast learning ability. Good teamwork and communication skills, and a basic command of English (reading and writing).

What You'll Do.

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 data scientists, engineers and product managers to understand questions and share results.

How You'll Work.

Team & Collaboration

Collaborate with data scientists, engineers and product managers to understand questions and share results.

Communication Scope

basic command of English (reading and writing)

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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