3 дня назад
Junior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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