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4 дня назад

Business Intelligence and Data Science Intern (Student Job) (Insurance)

8
Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Slovakia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Business Intelligence and Data Science Intern (Student Job) (Insurance): Developing Tableau dashboards, extracting and validating insurance data, and supporting data analysis for portfolio analytics with an accent on SQL, Python, R, and data quality. Focus on building data pipelines, analyzing large datasets, and delivering actionable insights for actuarial, finance, and operations stakeholders.

Location: Bratislava, Slovakia; hybrid

Salary: from €8 gross per hour

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions, managing risks including natural catastrophes, climate change, and cybercrime.

What you will do

  • Develop and maintain Tableau dashboards for insurance portfolio analysis.
  • Extract, analyze, and validate data from the central data lake and database using SQL.
  • Assist with creating data pipelines in Python and R.
  • Analyze and clean insurance data and provide actionable insights.
  • Collaborate with insurance product and pricing actuaries, Finance, and Operations.
  • Support the Portfolio Analytics team in monitoring and optimizing the insurance portfolio and maintaining analytics platforms.

Requirements

  • 50% contract, approximately 20 hours per week.
  • Ideally a fourth-year student in mathematics, actuarial science, IT, engineering, or a related field.
  • Basic to advanced knowledge of at least one of SQL, R, or Python.
  • Strong analytical skills and the ability to work with large datasets.
  • Attention to detail, a solution-oriented mindset, curiosity, and willingness to learn.
  • Proficient English.

Culture & Benefits

  • Work in a five-person Portfolio Analytics team based in Bratislava.
  • Collaborate with experienced professionals across insurance, actuarial science, business intelligence, and data science.
  • Inclusive and flexible workplace with equal opportunities for professional development.
  • AI-powered tools may support application review, with final hiring decisions made by people.

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