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