External Career Opportunities

The following opportunities are offered by organisations external to The Data Lab. Our aim is to support the Data Science community by creating links and increase visibility on current work and professional development opportunities. This page is intended to share such opportunities. If you are interested or have any questions regarding any of these opprotunities, please contact the offering organisation directly.

Jumping Rivers: Data Scientist

This is an excellent opportunity to work at the forefront of data science. The position will involve providing training and consultancy to various businesses, charities, academics and students.

The successful applicant will have ample opportunity to develop their computational and statistical skills via online learning, development of R packages with other consultants and participating in kaggle competitions.

Technical Duties:

  • Provide technical training at events and in client’s place of work.
  • Development of bespoke statistical algorithms.
  • Building web applications using R and Shiny.
  • Data analysis using R and python.

Other duties:

  • Attending conferences, such as useR! (useR 2017.brussels).
  • Promote the company via twitter, LinkedIn, Stackoverflow and kaggle.
  • Write blog posts.
  • Ability to travel to client sites (including international travel).

The applicant will work from home. Applicants must have the right to work in EU.

Application deadline: Friday 18 April 2017

CV's and covering letters should be sent to esther@jumpingrivers.com

The Data Incubator - Summer Data Science Fellowship Opportunity

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remoteonline session:

  • New York City
  • San Francisco Bay Area
  • Seattle
  • Boston
  • Washington, DC.

Dates: All sections will be from 2017-06-19 to 2017-08-11.

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

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