Page 68 - Graduate Recruitment Handbook 2025
P. 68

Organisation        Required Qualification(s)   Campus Visits and/or
                                                             Application Process
         LexisNexis                   Fields of Study      We will be opening
                                      •   Computer Science /   applications for 2026
         LexisNexis Legal & Professional is a global   Software Engineering  graduate intake in June-July.
         legal AI and data analytics company   •   Data Science / Analytics
         delivering legal, regulatory, and business   •   Data Engineering /   Students are encouraged
         insights to help professionals make   Computer Engineering  to keep checking our career
         better decisions and drive productivity.   •   Information Systems  page https://www.lexisnexis.
         A division of RELX Group, LexisNexis   •   Mathematics or Statistics  com/global/careers/south-
         serves customers in over 175 countries   These degrees should include   africa.page.
         and employs more than 10,000 people   hands-on coding coursework
         worldwide. Since pioneering online   or projects (in any language)
         legal research with the original Lexis®   that demonstrate your ability   Visit LexisNexis at the
         and Nexis® services in the 1970s, we’ve   to solve problems through   Computing Sciences &
         continued to innovate—leveraging   software.      IT Careers Fair: 16 April
         machine learning, cloud architectures, and        – Mapungubwe Building,
         generative AI to power next-generation            North Campus, Nelson
         legal and business workflows.                     Mandela University
         Graduate Opportunities       Qualifications & Attributes
         Students who join LexisNexis are enrolled   •   Degree Level: Bachelor’s
         in our Aspire Graduate Program—a   or Master’s in a   Those that sign up during
         one-year development experience   technology-oriented   the career day will be
         designed to accelerate your growth   field listed above (or   contacted via email as soon
         through hands-on work, mentorship, and   closely related).  as applications open
         structured learning. We offer graduate   •   Coding & Problem-
         opportunities in software engineering,   Solving: Practical
         data science, and data engineering,   experience coding
         working with cutting-edge technologies   (through class projects,
         in a global environment. After completing   internships, hackathons,
         the program, graduates often transition   etc.) and a proven ability
         into junior roles, with ample room for   to tackle unfamiliar
         advancement across our international   challenges.
         teams and projects.          •   Learning Agility:
                                          Eagerness to pick up
                                          new tools, frameworks,
                                          and domains quickly;
                                          comfortable with
                                          ambiguity.
                                      •   Growth Mindset:
                                          Willingness to make
                                          mistakes, learn
                                          from feedback, and
                                          continuously improve.
                                      •   Teamwork &
                                          Collaboration:
                                          Respectful, open
                                          communicator who
                                          thrives in diverse,
                                          cross-functional teams
                                          within a large, global
                                          organization.







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