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7 дней назад

Internship - Data Scientist

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

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TL;DR
Internship - Data Scientist (Machine Learning and Analytics): Designing predictive models, analyzing structured and unstructured datasets, and developing data-informed solutions with an accent on machine learning, analytics, and visualization. Focus on validating algorithms, improving data quality and reliability, and collaborating with product, engineering, and business teams.

Location: Nice, France

Company

A global travel technology organization with more than 20,000 employees across 100+ locations, developing solutions that improve how travel works.

What you will do

  • Collect, process, and analyze structured and unstructured datasets.
  • Design, implement, and validate predictive models and machine learning algorithms.
  • Develop analytics and visualization solutions that support the platform.
  • Collaborate with product, engineering, and business teams to identify opportunities and deliver data-informed features.
  • Support data quality, reliability, and scalability in analytics workflows.

Requirements

  • Currently pursuing a Master’s degree or equivalent experience in engineering or data science.
  • Good proficiency in English.
  • Curiosity and interest in solving real-world problems using data.
  • Comfort working in a collaborative and diverse environment.
  • Interest in continuous learning and development.

Culture & Benefits

  • Work in a multicultural Nice office with more than 4,500 people and 90+ nationalities.
  • Collaborative environment supporting innovative ways of working.
  • Focus on a healthy work-life balance, diversity, inclusion, and equal opportunity.

Hiring process

  • This is a generic internship offer.
  • Selected candidates are invited to a first interview with the School Relations team.
  • The interview helps match interests and skills with a suitable opportunity and manager.

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