Internship at Eventum Solutions: Remote Data Science

Graduates with degrees in statistics, probability, computer science and sciences are invited for a remote internship with flexible timing at Eventum Solutions. Interns will apply programming languages and their knowledge to executing critical projects. Application process is ongoing.

Apply for Internship at Eventum Solution

Internship at Eventum Solution: Eventum Solutions delivers complex technical infrastructure to enterprise customers, and carrier-class solutions to service-provider customers worldwide.

Since 2009, their customer base has grown to include Tier-1 telecommunications service providers, governments and multi-national corporations.

Their expertise in high-performance wireless and wireline-network infrastructure coupled with our strong software development expertise allows the company to design bespoke solutions that help our customers contain costs and grow revenues.

The company is looking for a Data Science Intern who has a deep passion for data ingestion, scheming, validation, analysis, and modeling.

You’ll partner with the Data Science, Machine Learning, and Platform teams to execute critical projects that will improve the company’s ability to expand the Knock brand.

You’ll get the chance to work with the first Data Science team in Alexandria, Egypt. As a Data Science Intern, you will optimize the data flow, collection process, and validation of data.

The application process for an Internship at Eventum Solution is ongoing.


Main criteria

  • Internship should demonstrate a strong understanding of probability & statistics
  • Proficient in any programming language for Data Science, preferably Python
  • With a strong background in Machine Learning and Deep Learning different algorithms and techniques
  • Completed quantitative coursework in subjects such as, statistics, probability, computer science, mathematics, engineering and/or natural or social sciences


Find out more about this and other available internships.

Photo: Shutterstock / Edited by: Martina Advaney


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