Hybrid Analytics & AI Solutions Architect in City of London

Hybrid Analytics & AI Solutions Architect in City of London

City of London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement cutting-edge analytics and AI solutions using top-tier technologies.
  • Company: Join Marks & Spencer, a leader in retail innovation and technology.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and drive impactful projects.
  • Why this job: Shape the future of analytics and AI in a dynamic retail environment.
  • Qualifications: Experience in analytics architecture and familiarity with Microsoft technologies.

The predicted salary is between 63000 - 77000 £ per year.

Marks & Spencer is seeking an Analytics Solutions Architect to define architecture, standards and technology direction for analytics and AI across the organisation. You will work with Microsoft Fabric, Azure Databricks, Power Platform and Copilot Studio to deliver scalable, governed and secure solutions that align with enterprise strategy.

You will partner with analytics, data engineering and platform teams to design AI-ready ecosystems, evaluate emerging technologies and establish reusable.

Hybrid Analytics & AI Solutions Architect in City of London employer: Marks and Spencer

Marks and Spencer is an exceptional employer, offering a dynamic work culture in the heart of London that fosters collaboration and innovation. As a Technical Programme Manager, you will have access to extensive employee growth opportunities, competitive benefits, and the chance to make a meaningful impact on customer experiences through cutting-edge technology and loyalty initiatives.

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Contact Details:

Marks and Spencer Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Analytics & AI Solutions Architect in City of London

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Marks and Spencer.

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We think you need these skills to ace Hybrid Analytics & AI Solutions Architect in City of London

Architecture Design
Microsoft Fabric
Azure Databricks
Power Platform
Copilot Studio
Analytics Solutions Development
AI Ecosystem Design

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 Marks and Spencer, 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 Marks and Spencer. 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 Marks and Spencer

✨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.