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Intern Data Scientist(m/w/x)

IATA
Le Grand-Saconnex

You assist in managing data science projects and ensure data accuracy while conducting analyses to uncover insights. Your role includes developing models and supporting communication efforts for key meetings.

Anforderungen

  • •Bachelor's degree in relevant field
  • •Passion for data
  • •Knowledge of machine learning
  • •Good knowledge of Python/R and SQL
  • •Strong organizational and interpersonal skills
  • •Professional proficiency in English

Deine Aufgaben

  • •Assist with project management of data science portfolio.
  • •Monitor and track project progress and timelines.
  • •Collect and clean data from various sources.
  • •Conduct analysis to identify trends and insights.
  • •Develop and implement statistical modeling solutions.
  • •Integrate machine learning solutions with existing systems.
  • •Generate actionable insights using machine learning models.
  • •Support engagement activities with email communications.
  • •Prepare slides, visualizations, and presentation materials.

Deine Vorteile

Continuous learning opportunities
Equal pay and family-friendly policies
Community involvement time off
Flexible work options

Original Beschreibung

Employment Type: Internship Contract Duration: 6 months ## Why you will love working here At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive. • **Our Values** are not just words on a page - they are the energy behind everything we do: **ONE IATA** - We collaborate across teams, **TRUSTED** - We do the right thing, **INNOVATIVE** - We make tomorrow better, **INCLUSIVE** - We embrace diverse perspectives. • With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry. • Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies. • We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you. • We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off! ## About the team you are joining Reporting to the Principal Data Scientist, the Intern Data Scientist will work within the Data Science team and support the technical implementation of cross-divisional data science solutions to use cases that span across multiple business areas. The ideal candidate should have a strong analytical mindset, attention to detail, and understanding of statistical modelling, machine learning, and data analysis techniques. ## What your day would be like You will be an integral part of the I&D Data Science team, and your main responsibilities will include: * Contributing and assisting with the project management of the data science portfolio, including the monitoring and tracking of project progress, timelines, and deliverables. * Collecting and cleaning data from various sources to ensure accuracy and completeness. * Conducting analysis to identify trends, patterns, and insights that inform business decisions by leveraging data science methods. * Assisting in the development and implementation of statistical modeling and machine learning solutions that integrate with existing systems and processes. * Supporting the generation of actionable insights using machine learning models by working with data from multiple data sources. * Supporting engagement activities as email communications, preparation of slides, visualizations, and other presentation materials for key internal and external meetings related to Data Science. ## We would love to hear from you if * Bachelor's or master's degree in a relevant field such as data science, computer science, statistics, mathematics, engineering, or business. * Passion and curiosity for data, whether from coursework, personal projects, or previous internships/work experience. * Knowledge of machine learning, e.g. natural language processing techniques, generative AI, deep learning algorithms for regression, classification, time-series forecasting or clustering problems. * Good knowledge of Python/R and SQL programming. * Strong organizational and interpersonal skills, with the ability to manage multiple tasks. * Ability to communicate effectively with both technical and non-technical audiences, including professional proficiency (reading, writing, and speaking) in English. Travel Required: N
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