The Role
Build and prototype data science and machine learning solutions to increase customer engagement, GoPay users, and transactions. Analyze large datasets, generate actionable insights, collaborate with engineering, product, and business teams, and support end-to-end model development through deployment. Participate in product discussions, technical documentation, conferences, and workshops. The role requires strong quantitative skills, statistics and machine learning fundamentals, and Python and R experience.
Summary Generated by Built In
About the Role
We are looking for a data scientist intern to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure
About the Team
GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc.) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.
What You Will Do
- Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions
- Rapidly prototype data science solutions and be involved in product and feature discussions
- Analyze large volume data and generate insights which will be actionable
- Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
- Participate in internal and external conferences and workshops
What You Will Need
- Fresh Graduates from computer science, mathematics, or statistics (Students on final semester are also preferred)
- Strong quantitative and problem-solving skills
- Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R
- Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
- Ability to write clear and concise technical documentation
- Experience in recommender system, ranking, multi-armed bandits, search and discovery is a plus
Skills Required
- Fresh graduate in computer science, mathematics, or statistics
- Strong quantitative and problem-solving skills
- Solid understanding of statistics and machine learning fundamentals
- Demonstrated experience with Python and R
- Strong communication skills for engaging business stakeholders and communicating analytical results
- Ability to write clear and concise technical documentation
- Final-semester student status
- Experience with recommender systems, ranking, multi-armed bandits, search, or discovery
GoTo Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GoTo Group and has not been reviewed or approved by GoTo Group.
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Fair & Transparent Compensation — Pay is considered competitive to above market for many corporate roles across core entities such as Gojek, Tokopedia, and GoTo Financial. Base pay is often characterized as solid or above market in Indonesia tech roles.
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Healthcare Strength — Medical coverage is characterized as strong in Indonesia and often extends to spouses and children. Company materials also highlight wellness support, parental insurance, and mental‑health counseling for employees and families.
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Leave & Time Off Breadth — Leave programs are described as generous, including maternity, paternity, and other special leave types at Tokopedia. Broader time‑off and flexibility practices are portrayed as supportive across corporate roles.
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The Company
What We Do
GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure. GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.
