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14 часов назад

Data Scientist Intern (AI)

Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
c1
Страна
Brazil
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 (AI): Supporting the deployment and maintenance of insurance-grade AI solutions for fraud detection and claim automation with an accent on ETL configuration, pipeline optimization, and production-quality code. Focus on collaborating with senior data scientists to implement features for global P&C insurance clients.

Location: Must be enrolled at a university in São Paulo and able to work from the local office at least one day per week.

Company

hirify.global is a global leader in insurance-grade AI, building advanced solutions to help insurers detect fraud, assess risk, and automate complex claim processes.

What you will do

  • Assist with Claim Fraud Detection (CFD) setups for new clients, including ETL configuration and detection implementation.
  • Help roll out new platform features to existing client production environments.
  • Participate in driving continuous improvements across data pipelines.
  • Collaborate with internal teams to understand client roadmaps and collect user feedback.
  • Review solution performance alongside senior data scientists.

Requirements

  • Currently pursuing a degree in Data Science, Computer Science, or Engineering.
  • Must be in final year of university with graduation between June and December 2027.
  • Must be enrolled at a university in São Paulo.
  • Must be available to work from the local office at least one day per week.
  • Strong background in an OOP language (C#, C/C++, or Java) and SQL.
  • Fluency in English is a strict requirement.

Culture & Benefits

  • Health insurance (Amil One S6500 Black) and dental insurance.
  • Meal voucher (R$1,026).
  • Exposure to a global team of nearly 200 data scientists.
  • Learning and development opportunities including Focus Fridays.
  • Diverse and inclusive work environment.

Hiring process

  • HR Screening Call.
  • CodinGame Assessment.
  • Technical Interview with a Data Scientist.
  • Last Round Interview with the Hiring Manager.

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