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Data Scientist Internship

Logo of LexisNexis


19d ago

🚀 Off-cycle Internship


AI generated summary

  • The candidate must be a currently enrolled student pursuing a degree in a scientific, mathematical, or computer field, with foundational knowledge of natural language processing, machine learning, and information retrieval. They should also possess skills in data manipulation languages, data modeling principles, and data storage subsystems. A passion for technology, a basic knowledge of software development methodologies, problem-solving abilities, and excellent communication skills are also required.
  • As a Data Scientist Intern at LexisNexis, you will further develop your skills through real-world industry experience, attending knowledge sessions, and networking opportunities. You will work alongside senior data scientists, collecting and manipulating data, developing models, and solving technical challenges. Stay innovative and have the potential for a full-time position after completion of the internship.

Off-cycle Internship



  • 12 Week Internship beginning June 2024
  • Are you a current student seeking a valuable internship opportunity in the realm of Data Science? If so, this role is tailor-made for you.
  • At LexisNexis, we're on a mission to shape a more just world. Join us and be part of a team that collaborates cross-functionally to achieve common goals while creating positive change in society.


  • Required Qualifications:
  • Currently enrolled student working on a Bachelor's, Master's, or Ph.D. degree in Scientific, Mathematical, or Computer field or possess equivalent practical experience.
  • Must be graduating after June 2024.
  • Preferred Qualifications and Technical Skills:
  • Possess foundational knowledge of natural language processing, machine learning, and information retrieval.
  • Display familiarity with data manipulation languages.
  • Showcase a basic grasp of data modeling principles.
  • Exhibit a sound understanding of data storage subsystems.
  • Have a passion for technology and a desire to learn and progress quickly
  • Have a basic knowledge of software development methodologies
  • Be a natural problem solver, able to collaborate with your team to resolve issues
  • Have excellent verbal and written communication skills

Education requirements

Currently Studying

Area of Responsibilities



  • Further develop your analytic skills.
  • Gain “real-world” industry experience.
  • Attend weekly knowledge and development sessions.
  • Have opportunities to network with peers and leadership.
  • Work under the guidance of senior data scientists, embracing data collection, manipulation, and model development.
  • Collaborate effectively within diverse development environments, ensuring seamless cooperation with key stakeholders.
  • Tackle basic technical challenges head-on, demonstrating your problem-solving prowess.
  • Stay attuned to the ever-evolving landscape of technology to remain at the forefront of innovation.
  • Potential to receive a full-time position after graduation and completion of your internship.
  • And, of course, fulfill any other responsibilities that may arise as part of this exciting journey.


Work type

Full time

Work mode