At a Glance
- Tasks: Join our 18-month AI Transformation Program and tackle real business challenges with cutting-edge AI tools.
- Company: Dynamic company focused on AI innovation and business transformation.
- Benefits: Gain hands-on experience, mentorship from C-level leaders, and global networking opportunities.
- Other info: Ideal for tech-savvy individuals eager to apply AI solutions in real-world scenarios.
- Why this job: Be at the forefront of AI application, making a tangible impact in a fast-paced environment.
- Qualifications: Bachelor’s or Master’s degree in relevant fields; 2+ years experience preferred, but exceptional grads welcome.
The predicted salary is between 30000 - 40000 £ per year.
About the Program
We’re seeking innovative, technically curious, and business‑minded early‑career professionals to join our 18‑month Global 360 AI Transformation Program. This program is designed for candidates with 2–3 years of post‑graduate experience in technical, analytical, product, consulting, automation, or AI‑adjacent roles. We will also consider exceptional recent graduates who can demonstrate strong technical curiosity, project ownership, and evidence of building or implementing real solutions.
Each Global 360 AI Trainee will be paired directly with a C‑level leader to identify, design, and implement high‑impact AI solutions that deliver immediate business value. Unlike traditional trainee or AI research roles, this position focuses on applying today’s most advanced AI tools, automation platforms, LLMs, agents, and emerging AI workflows to real business problems. You’ll work at the intersection of executive leadership, business transformation, and bleeding‑edge technology—helping the organization move faster, operate smarter, and build AI‑native ways of working. You will also participate in collaborative global summits with fellow trainees, sharing learnings, testing new tools, and supporting senior leaders as they explore and scale AI‑enabled transformation across the business.
The Role
As a Global 360 AI Trainee, you’ll act as an AI transformation specialist: identifying where artificial intelligence, automation, and agentic workflows can create competitive advantage, then helping turn those opportunities into practical, measurable outcomes.
You’ll Work On Hands‑on Projects Such As:
- Setting up AI agents to monitor competitor activity, market signals, and internal performance in real time
- Streamlining, redesigning, or automating business workflows using AI‑first tools and platforms
- Building prototypes, proof‑of‑concepts, and MVPs that demonstrate how AI can improve speed, quality, or decision‑making
- Enhancing customer and employee experiences through AI‑powered personalization, automation, and self‑service solutions
- Improving decision‑making through data insights, dashboards, predictive analytics, and AI‑assisted research
- Evaluating, deploying, and scaling emerging AI tools across business functions
- Supporting leaders in understanding how LLMs, autonomous agents, workflow automation, and AI‑native operating models can reshape their areas of responsibility
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Business Analytics, or a related field from a top‑tier university
- Ideally 2+ years of post‑graduate professional experience in software engineering, data analytics, product, technical consulting, automation, AI implementation, or a related technical/analytical role
- Exceptional recent graduates may be considered if they can demonstrate strong project work, technical curiosity, and evidence of hands‑on execution
- Fluency in English; additional languages are valued
- International work and/or study experience
- Demonstrated leadership potential and ambition to work closely with senior decision‑makers
- Strong interest in using AI to solve real business problems, not just discussing theoretical possibilities
Talents And Skills
- Deep curiosity about agentic AI, autonomous systems, LLMs, multimodal AI, AI copilots, and next‑generation AI architectures
- Hands‑on experience with AI tools, APIs, workflow automation platforms, no‑code/low‑code tools, LLMs, agents, data tools, or related technologies
- Entrepreneurial mindset with a bias toward building, testing, and deploying solutions quickly
- Ability to translate emerging technology into practical business applications
- Strong communication skills to bridge the gap between AI‑driven automation and executive decision‑making
- Comfort with ambiguity and the ability to navigate unstructured, AI‑augmented workflows independently
- Strong analytical and problem‑solving skills
- Bias toward action and a track record of turning ideas into execution
- Interest in AI‑native operating models, business transformation, and the future of work
Additional Information
This is not an AI research role. The focus is on applying existing and emerging AI technologies to solve business problems, improve efficiency, accelerate decision‑making, and create measurable value. Applicants should be prepared to discuss technical, analytical, automation, product, or AI‑related projects they have personally built, implemented, or contributed to. We are looking for people who are excited by the pace of AI development and want to be close to where it is being applied in real business settings—today.
AI 360 Global Trainee employer: EF
Join our dynamic team as an AI 360 Global Trainee, where you'll be at the forefront of AI transformation in a collaborative and innovative environment. We offer a unique opportunity to work directly with C-level leaders, engage in hands-on projects, and participate in global summits that foster professional growth and development. Our commitment to employee advancement, coupled with a culture that values curiosity and practical application of cutting-edge technology, makes us an exceptional employer for those eager to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI 360 Global Trainee
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like EF.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including EF, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like EF.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including EF, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace AI 360 Global Trainee
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so EF can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at EF and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at EF
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells EF that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into EF’s culture and workflow.
