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3 дня назад

Junior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Junior Data Scientist (AI): Building end-to-end AI models and People Analytics use cases for Airbus HR with an accent on predictive analysis, simulations, classification, and large language models. Focus on integrating LLM APIs, applying GPU-accelerated computing, and presenting model results and technical trade-offs to business stakeholders.

Location: Lisbon, Portugal; hybrid working model combining onsite and offsite work.

Company

hirify.global Defence and Space is strengthening its HR People Analytics capabilities through digital transformation and data science.

What you will do

  • Identify HR use cases for predictive and correlation analysis, simulations, and classification together with HR experts.
  • Build end-to-end AI models and communicate their results clearly to business stakeholders.
  • Collaborate with HR, IT, data analysts, and data scientists in an agile environment.
  • Use data science to support digital products and strengthen awareness of data-driven methods within HR.
  • Coordinate with multidisciplinary stakeholders and address compliance risks with integrity.

Requirements

  • 1–3 years of experience in Data Science.
  • Advanced Python classes and objects knowledge, including GPU-based parallel and GPU-accelerated computing.
  • Strong knowledge of machine learning, deep learning, large language models, and basic integration with LLM APIs such as OpenAI and Anthropic.
  • Experience with GitHub, PyTest, Spotfire, and QlikSense.
  • Structured, collaborative, self-organized, creative, and customer-oriented approach with strong communication skills.
  • Good spoken and written English is required.

Nice to have

  • Experience with Workday, PRISM, or SAP BI.
  • Knowledge of HR business fundamentals and GDPR.

Culture & Benefits

  • Multicultural environment and collaboration with diverse stakeholders.
  • Learning opportunities through digital solutions, classroom sessions, certified training, and career development.
  • Modern office at Parque das Nações with convenient public transportation access.
  • Structured onboarding and a collaborative, innovation-focused working environment.
  • Employee benefits and support for work-life balance and flexible collaboration.

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