Data & AI Trainee – UK (Hybrid, 12‑Month Programme)

Data & AI Trainee – UK (Hybrid, 12‑Month Programme)

Trainee 25650 - 31350 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a fast-paced team and work on real client projects while learning about Data & AI.
  • Company: VML, part of WPP, known for its innovative approach and collaborative culture.
  • Benefits: Competitive salary, hybrid work model, and access to extensive training and resources.
  • Other info: 12-month programme with great networking opportunities and potential for career growth.
  • Why this job: Kickstart your career with hands-on experience and industry-leading training in Data & AI.
  • Qualifications: No prior experience required; just bring your enthusiasm and willingness to learn.

The predicted salary is between 25650 - 31350 £ per year.

VML, part of WPP, in London, offers an industry-leading entry-level programme that blends formal training modules with practical work experience.

You will join a collaborative, fast-paced team and gain exposure to blue-chip client work.

The 12-month programme includes onboarding, real responsibilities, access to the wider WPP network, and a competitive salary.

A hybrid work pattern applies, with onsite days and flexibility during the interview process.

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Data & AI Trainee – UK (Hybrid, 12‑Month Programme) employer: VML

At VML Live, we pride ourselves on being a leading employer in the dynamic world of Formula 1 hospitality, offering our employees unparalleled opportunities for growth and innovation. Based in our vibrant London HQ, you will be part of a collaborative culture that champions excellence and creativity, while also benefiting from a diverse and inclusive workplace that values every team member's contributions. Join us to not only elevate your career but also to shape unforgettable experiences in one of the most exciting sports globally.

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Contact Details:

VML Recruitment Team

We think you need these skills to ace Data & AI Trainee – UK (Hybrid, 12‑Month Programme)

Communication Skills
Python
SQL
Data Engineering
Problem-Solving Skills
ETL/ELT Processes
Data Pipeline Development