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- Tasks: Dive into data analysis and develop innovative AI solutions with hands-on experience.
- Company: Join Atos SE, a dynamic tech leader in Birmingham.
- Benefits: Enjoy mentorship, training, pension scheme, and medical cover.
- Other info: Embrace diversity and inclusion in a fast-growing team.
- Why this job: Kickstart your career in AI/ML while making a real impact in technology.
- Qualifications: Strong STEM degree and a passion for technology and analytics.
The predicted salary is between 25000 - 32000 £ per year.
Atos SE is seeking a D&A Graduate based in Birmingham to join a dynamic and fast-growing team. This role offers hands-on learning across the data journey, from data analysis to the development of AI solutions.
Ideal candidates will have a strong STEM degree and a passion for technology and analytics. The position provides mentorship, extensive training, and benefits including a pension scheme and medical cover.
Start date is September 2026, with a focus on fostering diversity and inclusion.
Data & AI Graduate — Mentored, Hands-on AI/ML employer: Atos SE
Contact Detail:
Atos SE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Graduate — Mentored, Hands-on AI/ML
✨Tip Number 1
Network like a pro! Reach out to current employees at Atos SE on LinkedIn or attend industry events. Building connections can give us insider info and might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in data analysis or AI/ML. This hands-on evidence of your abilities can really make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to data and AI. We recommend practicing with friends or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data & AI Graduate — Mentored, Hands-on AI/ML
Some tips for your application 🫡
Show Your Passion for Tech: When writing your application, let your enthusiasm for technology and analytics shine through. We want to see how your strong STEM background fuels your interest in AI and data solutions.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data & AI Graduate role. Highlight relevant experiences and skills that align with the job description, so we can see why you’re a perfect fit!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Atos SE
✨Know Your Data
Make sure you brush up on your data analysis skills and understand the basics of AI and machine learning. Be ready to discuss any relevant projects or coursework you've done, as this will show your passion for technology and analytics.
✨Show Your Enthusiasm
Atos SE is looking for candidates who are genuinely excited about the field. During the interview, express your interest in the role and the company. Share why you want to be part of their dynamic team and how you can contribute to their mission.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This could be about the mentorship programme, the types of projects you'll work on, or how they foster diversity and inclusion within the team. It shows you're engaged and serious about the opportunity.
✨Practice Problem-Solving
Since this role involves hands-on learning, be prepared for potential problem-solving scenarios during the interview. Brush up on your analytical thinking and be ready to demonstrate how you approach challenges, especially in data-related contexts.