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- Tasks: Design and deploy next-gen AI solutions using cutting-edge technologies.
- Company: Global professional services firm with a focus on innovation.
- Benefits: Competitive salary, hybrid working, performance bonus, and excellent benefits package.
- Other info: Collaborative environment with opportunities for creativity and career growth.
- Why this job: Be the first hire in a growing AI function and shape its future.
- Qualifications: Experience with RAG architectures, Azure, Python, and SQL.
The predicted salary is between 36000 - 60000 £ per year.
Job Description I\’m working with a global professional services firm to hire for a AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an AI Data Scientist who\’s ready to make a genuine impact. You… ZIPC1_UKTJ …
AI Data Scientist employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 AI projects, especially those involving RAG architectures or Azure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've used Python and SQL in past projects, and think about how you can apply these skills to their specific needs.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! We’re all about finding the right fit, and applying directly shows your enthusiasm for the role. Plus, it gives us a chance to see your application first-hand!
We think you need these skills to ace AI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Data Scientist. Highlight your experience with RAG architectures, Azure, and any relevant projects that showcase your skills in building intelligent systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our growing AI function. Share specific examples of your work that align with the job description and show off your creativity!
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked with large language models or data-driven decision-making, include details on how you’ve applied these in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Cathcart Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Azure, Python, and SQL. Brush up on RAG architectures and be ready to discuss how you've used these technologies in past projects. This will show your technical prowess and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned complex data into actionable insights. Think about specific challenges you've faced and how your AI solutions made a real impact. This will demonstrate your ability to drive tangible results.
✨Emphasise Collaboration
Since you'll be working closely with designers, engineers, and product managers, highlight your teamwork experiences. Share stories that showcase your ability to collaborate effectively and bring innovative ideas to life.
✨Stay Curious and Creative
Express your passion for exploring new technologies and staying ahead of the curve. Be prepared to discuss any recent advancements in AI that excite you and how you envision applying them in this role.