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HPCC Systems is an open source, enterprise proven, big data analytics platform.

Our summer internship program was very successful in 2015. We had 4 students complete projects for us during the summer months. It was a great experience and we are pleased to offer the program to students again in 2016. Most of our students work remotely. 

About the program...

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The 2024 internship program is now concluded! Starting in 2025, the summer internship opportunities will be offered under the LexisNexis Risk Solutions Early Careers Program and can be accessed via the career website.

Completed intern projects from previous years

• Our class of 2024 included 13 students from high school through to PhD.

• Our class of 2023 included 15 students from high school through to PhD.

• Our class of 2022 included 11 students from high school through to PhD.

• Our class of 2021 included 12 students from high school through to Masters level and an research assistant.

• Our class of 2020 included 7 students from high school right the way through to PhD.

• Our class of 2019 included 10 students studying from undergraduate level through to PhD.

• Our class of 2018 included 10 students, including a high school student as well as undergraduates, Masters and PhD students. 

• Our class of 2017 included 5 students and for the first time, we welcomed a high school student on to the program. 

• Our class of 2016 included four students including a student from the LexisNexis corporate intern program and another student volunteered to work on a project for us in her own time as a community contributor.

• Our class of 2015 was the first year we ran the HPCC Systems Intern Program. 4 students complete projects for us as part of the HPCC Systems summer intern program in 2015 and 2 students completed projects as part of the Google Summer of Code Program 2015.

New to HPCC Systems?

If you are new to us, then take some time to find out about HPCC Systems and what we do. Find out how HPCC Systems works, what ECL is and take a look at what goes on in our community.

If you see a project on our ideas list that you like, email us and let us know. To really make a great proposal, you'll need to get Get started using HPCC Systems so you can get some experience of how it works. Here are some things you should do to get started:

• Download the system

  Look at the work our students have completed in the past

• Take a look at some video tutorials

• Find out about our Cloud Native platform and how to get started using it. Visit our Helm Chart Repository and see some examples.

• Download the platform and play around with it

  : https://hpccsystems.com/download/hpcc-platformOr

  , or try building your own system from the sources

  : https://github.com/hpcc-systems/HPCC-Platform/wiki

  . 

• Once you’re up and running, try out a few examples and tutorials, for example:

   Introduction

   Introduction to Thor and Roxie,

   Six

   Six Degrees of Kevin Bacon Example

  , there are others here

  .

• Learn some ECL

  : https://hpccsystems.com/download/documentation/learning-ecl
• Take a look at some video tutorials
• Look at the work our students completed last year

• . Either read the documentation or take a training course.

• If you're interested in a Machine Learning project, take a look at our Machine Learning Documentation and Sources

  .

Ready to take the plunge?

Once you've prepared the way, you're ready to get started on your proposal.

• Read the Other Resources section in the project specification. It contains information of direct relevance to the project such as, additional reading material, a link to the corresponding JIRA issue, links to sources etc. 
• Contact the project mentor to ask questions or discuss your ideas. We don't necessarily expect you to have all the answers and the chances are, there are challenges that may not be visible at first sight. The mentor will be interested to hear your ideas and is perfectly placed to help you develop them and answer your questions.
• Use our proposal guidelines to make sure you provide us with everything we need to know about you and your project plans

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• Update your proposal with the results of any discussions you have with a mentor and also to reflect the answers to questions. Don't assume the mentor will remember. 
• Get the final version to Lorraine Chapman by 7pm UTC on the deadline date.
• And finally good luck!