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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Apprenticeship - Geospatial Data Science (F/M)

Airbus
Found 2 months ago
Location
Blagnac, France
Duration (Months)
12 Months
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Pyspark
  • MS Azure Databricks
  • CARTO
  • PowerBI
  • Python

Soft Skills

  • Ability to solve analytical problems
  • Ability to synthesise data and information into clear communications

Job Description

Being an intern at ATR means being integrated into a team as a full member with a real scope of responsibilities. You will have the opportunity to learn, create and develop your skills and experience within a market-leading company! Detailed description of the mission It’s about Geospatial Data Science You will help ATR continue to develop its MobilityMonitor platform to explore and communicate about human mobility trends You will use Pyspark and MS Azure Databricks to work with gigantic volumes of Mobile GPS Data You will use and improve our analytics pipeline to estimate inter-city travel volumes by mode of travel, for specific countries in line with our commercial objectives You will use CARTO and PowerBI to develop interactive dashboards You will develop an interesting market story for specific countries, and share your findings within ATR and with our customers You will be a part of the Business Development team, will interface with Marketing & Sales, and can expect opportunities to meet external parties including airlines and government bodies

Requirements

  • A university education in Data Science, preferability with a Geospatial component
  • Interest in human transportation needs
  • Coding ability and a willingness to learn Python & Pyspark if not already skilled
  • Ability to solve analytical problems by conceptualising and implementing new algorithms
  • Familiarity with existing research basis for processing of mobility data will be a plus
  • Ability to synthesise data and information into clear communications and dashboards

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English

Nice to Haves

  • Geospatial component
  • existing research basis for processing of mobility data
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