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- Tasks: Design innovative data and AI architectures to enhance client operations.
- Company: Leading consulting firm in Greater London with a focus on digital engineering.
- Benefits: Hybrid working, excellent training opportunities, and a collaborative culture.
- Why this job: Make a real impact by leveraging data and AI in exciting projects.
- Qualifications: Strong programming skills in Python and SQL, plus cloud platform experience.
- Other info: Great career growth potential in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading consulting firm in Greater London seeks a Digital Engineering - Industrial Data Managing Consultant. In this role, you will design innovative architectures utilizing data and AI to enhance client operations.
Ideal candidates possess:
- Strong programming skills in Python and SQL
- Experience with cloud platforms like AWS and Azure
- An analytical mindset
The firm promotes collaboration and offers excellent training opportunities. Hybrid working arrangements make it an attractive place to grow your career.
Industrial Data & AI Architect – Engineering Consultant in London employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Industrial Data & AI Architect – Engineering Consultant in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend local meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 and engaged with our company.
We think you need these skills to ace Industrial Data & AI Architect – Engineering Consultant in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL right from the get-go. We want to see how you can leverage these skills to design innovative architectures that enhance client operations.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Industrial Data & AI Architect role. We love seeing candidates who understand what we’re looking for.
Be Analytical: Since an analytical mindset is key for this role, don’t shy away from showcasing your problem-solving abilities. Share examples of how you've used data to drive decisions or improve processes in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Capgemini Invent
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Showcase Your Cloud Knowledge
Familiarise yourself with AWS and Azure, as these are key platforms for the role. Prepare to talk about your experience with cloud services, including any innovative solutions you've implemented that improved efficiency or performance.
✨Demonstrate Your Analytical Mindset
Be prepared to tackle some analytical problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your ability to think critically and solve complex issues.
✨Emphasise Collaboration Skills
Since the firm values collaboration, think of examples where you've successfully worked in a team. Highlight how you contributed to group projects and how you handle differing opinions to achieve a common goal.
