Data Scientist Intern

About the Role

We are looking for a dynamic, energetic intern to join our team and contribute to the development of our in-house Large Language Model (LLM). In this role, you'll tackle the challenges of data collection, validation, and labeling, directly impacting the quality and effectiveness of our LLM. You'll work closely with our data science and engineering teams, participating in daily standups, and collaborating on live production projects. Over the first six months, you'll gain hands-on experience in managing and preparing large datasets, ensuring the quality of our AI models, and contributing to cutting-edge AI projects that drive real business value.

About the Team

The GoTo Data Science team is at the forefront of building critical machine learning components that ensure GoTo remains a safe, trusted, and enjoyable platform for digital payments. Our diverse team combines skills in mathematics, statistics, machine learning, and deep learning to solve some of the most challenging business problems in GoPay. We are passionate about both the technical aspects of data science and the tangible business impact of our models. Our collaborative environment encourages sharing knowledge, discussing new ideas, and learning from one another through various internal forums and presentations.

About GoTo Group
GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is to 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy.
The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.

About Gojek
Gojek is Southeast Asia's leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.

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What You Will Do:
• Collect and validate data from various sources to train our LLM.

• Analyze, review, and accurately label text data based on predefined guidelines.

• Ensure the consistency and quality of labeled data by following established protocols.

• Provide feedback on labeling guidelines and suggest improvements.

• Work closely with data science and engineering teams to meet project goals.

• Participate in daily standups and collaborate on projects.

What You Will Need:
• Available to join for a minimum of 5 months.

• Proficiency in Python programming and basic data processing skills.

• Attention to detail, with a focus on maintaining high data quality standards.

• Strong communication skills for effective collaboration and documentation.

• Ability to work independently and as part of a team.

• Willingness to learn and adapt in a fast-paced environment.

• Ability to provide constructive feedback and contribute to team discussions.