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Data Scientist Intern (FinTech)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist Intern (FinTech): Building data science models and solutions to increase GoPay customer engagement, customer base, and transactions with an accent on statistical and machine learning methods, large-scale data analysis, and cross-functional product development. Focus on rapidly prototyping models, formulating technical problems, generating actionable insights, and supporting end-to-end deployment with engineers.

Location: Jakarta, Indonesia; on-site

Company

hirify.global's GoPay business develops payment products supported by data science and machine learning systems.

What you will do

  • Build data science solutions that improve customer engagement and grow GoPay's customer base and transactions.
  • Prototype models and contribute to product and feature discussions.
  • Analyze large volumes of data and generate actionable insights.
  • Own solutions end to end, from technical problem formulation through deployment with engineering support.
  • Collaborate with engineers, product managers, and business analysts.
  • Participate in internal and external conferences and workshops.

Requirements

  • Recent graduate or final-semester student 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.
  • Ability to communicate analytical results with business stakeholders and write clear technical documentation.

Nice to have

  • Experience with recommender systems, ranking, multi-armed bandits, search, or discovery.

Culture & Benefits

  • Work in a fast-paced, highly cross-functional environment.
  • Collaborate with data science, product, engineering, and business stakeholders.
  • Access robust data infrastructure and internal forums for knowledge sharing, discussions, and presentations.
  • Opportunity to participate in conferences and workshops.

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