At a Glance
- Tasks: Design secure, enterprise-scale AI solutions using Azure and modern analytics platforms.
- Company: Join CGI, a top-rated employer known for innovation and inclusivity.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Hybrid role with opportunities for career growth and a diverse community.
- Why this job: Shape technical strategy and deliver impactful solutions across various industries.
- Qualifications: Experience in data architecture and a passion for AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
At CGI, we help organisations use data and AI to drive innovation and business transformation. As a Principal Microsoft Data & AI Architect, you will design secure, enterprise‑scale AI solutions using Azure, Fabric, Copilot, and modern analytics platforms. Working with CGI and Microsoft experts, you will shape technical strategy, support major client programmes, and deliver impactful solutions across industries.
We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant.
Due to the secure nature of this programme, you will need to hold UK Security Clearance or be eligible to undergo clearance. This is a hybrid position.
Senior Azure Data & AI Architect — Hybrid, UK Clearance employer: Onyx-Conseil
At CGI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive training opportunities and a competitive benefits package, including private healthcare and a generous pension scheme. Our recognition as a top employer reflects our dedication to inclusivity and support for diverse talent, making CGI a rewarding place to advance your career in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data & AI Architect — Hybrid, UK Clearance
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Azure Data & AI Architect — Hybrid, UK Clearance
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Onyx-Conseil, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Onyx-Conseil. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Onyx-Conseil
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.