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- Tasks: Design and implement AI-ready data foundations for innovative projects.
- Company: Leading IT services provider in the UK with a focus on collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI and data architecture.
- Qualifications: Bachelor's degree in Computer Science and 3-5 years of relevant experience.
- Other info: Exciting projects that support machine learning and analytics.
The predicted salary is between 36000 - 60000 £ per year.
An IT services leader in the United Kingdom is seeking an AI Data Architect to design and implement AI-ready data foundations. You will define data models and storage patterns while ensuring data accessibility, security, and scalability. The ideal candidate has a Bachelor's degree in Computer Science and 3–5 years of experience in data architecture. This role offers a collaborative environment to support machine learning and analytics projects.
AI Data Architect: Build AI-Ready Data Foundations in London employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Architect: Build AI-Ready Data Foundations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those related to AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data models and storage patterns. We recommend practising with a friend or even in front of the mirror to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Data Architect: Build AI-Ready Data Foundations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and any relevant projects you've worked on. We want to see how your skills align with the role of AI Data Architect, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building AI-ready data foundations and how your background makes you the perfect fit for our team.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise in data models, storage patterns, and security measures. We’re looking for someone who can hit the ground running, so let us know what tools and technologies you’re familiar with!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our collaborative environment.
How to prepare for a job interview at DXC Technology
✨Know Your Data Models
Make sure you brush up on various data models and storage patterns before the interview. Be ready to discuss how you've implemented these in past projects, as this will show your practical experience and understanding of AI-ready data foundations.
✨Showcase Your Collaboration Skills
Since this role involves a collaborative environment, prepare examples of how you've worked with teams on machine learning or analytics projects. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to team success.
✨Understand Data Security and Accessibility
Familiarise yourself with best practices for data security and accessibility. Be prepared to discuss how you ensure data is both secure and easily accessible, as this is crucial for the role of an AI Data Architect.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current data architecture and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
