Zain Group, a leading mobile telecom innovator in seven markets across the Middle East and Africa, announces that after five successful years, the company’s progressive Generation Z graduate training program has transformed into an initiative focused on developing cutting edge skills of future data analysts.

The new program, called ‘CODE 7’ targets Kuwaiti graduates who have majored in computer science-related subjects. Five dynamic young people were selected to participate in the inaugural year-long program by Zain Vice-Chairman and Group CEO, Bader Al-Kharafi. These bright young recruits, who will formally commence the program at the start of 2021, will be guided through the year with the aim the intention that they will then go on to support digitization efforts within Zain in areas such as data analytics and data science.

Aligned to the reimagined graduate program, Zain is set to establish an in-house Data Science division that will harness the talents of the participants given the company’s focus on identifying future trends and developing skill sets to match those future requirements.  Ultimately, Zain expects students who pass through its CODE 7 program to grow to become highly sort-after data science professionals who support Zain’s evolution to a digital lifestyle operator and beyond. 

Bader Al-Kharafi commented, “The world continues to change at a rapid pace, and the importance of data science-related disciplines in making organizations future-ready and successful is highly relevant. As such, we believe it is the right time to launch this CODE 7 initiative, taking our graduate program to a new direction. We have every confidence that the efforts we will place in these young talents will result in forging high-performing and successful careers, as well as being beneficial for Zain through the insights they will later be able to offer the company. I encourage the incoming graduates to make the most of this life-altering opportunity and wish them every success.”

The year-long CODE 7 program offers an invigorating selection of topics, subjects, and activities that include: 

  • Creativity and Innovation
  • Data Science Certification to expert level
  • Artificial Intelligence, Machine Learning
  • Behavioral Work (life skills, resilience etc.)
  • Innovative Sustainable Projects
  • Rotations across Zain operations on digitization
  • On-the-job applications and case studies

The five successful participants to be selected for the inaugural CODE 7 program are: Omar Saleh; Khalid Al Jassim; Abdullah Al Rasheed; Abdulaziz Khalifa and Sara Al Rabab. 

Send us your press releases to pressrelease.zawya@refinitiv.com

© Press Release 2020

Disclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.

The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.

To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.