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Стажировка предлагает понятные практические задачи в клиентской аналитике с SQL, Python и знакомством с ML, но формат ограничен стажировкой и требует действующего договора на практику.
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Только стажировкаАктуальный стекПонятные задачиПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
CRM Marketing Data Science Intern (Customer Analytics/AI): Analysing guest satisfaction scores and open-text feedback to generate insights, automate reports, and support business decisions across a cruise fleet with an accent on data extraction, statistical analysis, and customer feedback analytics. Focus on exploratory machine learning and artificial intelligence projects, deriving insights from datasets, and improving the measurement of guest experience.
Location: Geneva, Switzerland
Company
A cruise and hospitality business focused on creating guest holiday experiences and improving the customer journey.
What you will do
Support the CRM Marketing Voice of Customer team with data analysis, reporting, and insight generation.
Analyse guest satisfaction scores and open-text feedback collected throughout the customer journey.
Perform ad hoc analyses and extract data from core customer feedback datasets.
Automate reports and work with modern analytics and customer feedback platforms.
Assist with exploratory projects involving machine learning and artificial intelligence.
Contribute to business decisions affecting guests across the cruise fleet.
Requirements
Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Engineering, or a related quantitative field.
Academic exposure to data analysis, statistics, machine learning, or customer analytics.
Experience working with datasets and deriving insights through analytical methods.
Programming skills in SQL and Python.
Good communication skills in English.
Team-player attitude and eagerness to learn.
Valid internship agreement.
Nice to have
Familiarity with survey data, customer feedback analysis, or statistical modelling.
Culture & Benefits
Inclusive environment that values diverse perspectives and individual contribution.
Wellbeing resources, wellness programmes, and mental health support.
Support for work-life balance and maintaining connections with loved ones.
Continuous learning, regular feedback, and development opportunities.
Global colleague network and a welcoming community.
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