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. If you are interested or have any questions regarding any of these vacancies, please contact the offering organisation directly.

MadeBrave: Technical Director

MadeBrave have got a team of digital design and development wizards who deliver all of their client’s websites, apps and digital experiences. They are looking for someone to be the Kirk to their Starship Enterprise, who will hit the ground running on their current projects, future opportunities and make sure they’re at the forefront of all things tech and digital.

Application Deadline: 30th June

RGU: Researcher in Sensor Data Analytics

This is an opportunity to join a new innovation project, FITsense, sponsored by The Data Lab Innovation Centre, working as a Research Fellow in Artificial Intelligence/Data Science. The researcher will contribute to the development, implementation and evaluation of AI methods to achieve the objectives of the FITsense project. FITsense will develop a falls prediction system that analyses sensor data captured by technology-enabled FIT homes to identify patterns of activity that are linked to increased risk of falling. This is a full-time post funded for 12 months.

Informal enquiries may be addressed to Professor Susan Craw or Dr Stewart Massie.

Closing date: 2nd July 2017

Start date: 1st September 2017

EPSRC Industrial CASE PhD Scholarship in Business Model Transformation via Data-driven Innovation and Big Data Analytics

The PhD will explore the potential transformational impact of digital technologies in construction projects by investigating the challenges and opportunities offered by the deployment of big data analytics solutions across the construction supply chain.

All fees are covered, as well as an attractive stipend, and a built-in internship with Costain Group.

Deadline to apply: 15 July 2017

HEINEKEN: Data Science and Analytics Summer Internship

Do you want to be part of one of the most progressive companies in the UK? A company that puts ‘enjoyment of life' at its heart? A company that pushes boundaries, yet steeped in over 100 years of history?

We have 2 x internship opportunities over the summer to run a number of proofs of concept across our business – ranging from finance, supply chain, contact centre to marketing and sales. We have no shortage of data – structured, unstructured, siloed, shared, and this is where you can play your part. Can we gain novel insight from it? Determine patterns and trends? Complement our traditionally historic, but critical, reporting with moves to predictive models? Use visualisation to explore our data in new ways and tell stories about the insights gained? Can we build models supporting value-add analysis across our business?

Apply now! Assessment to take place w/c 11th June. Start date mid-end June.

Vitol: Jr. Data Scientist/Developer – London

The Vitol Group is one of the largest independent energy trading groups in the world and operates through a global group of companies.

The role of the junior data scientist/developer is to assist the business and the data science team to standardize and structure various sources of data. They will assist the data science team on machine learning and data mining projects. They will engage directly with traders, brokers, analysts, and researchers across nearly all aspects of Vitol on various Data Visualization projects and small Ad-hoc developments. The role will also involve work with Vitol development teams in London, Geneva, and Houston, across a variety of internal development projects.

CV's and covering letters should be sent to hrlondon@vitol.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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