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For Companies At a Glance
- Tasks: Design and develop data-driven applications while maintaining cloud-based AI platforms.
- Company: Notable tech consulting firm with a focus on innovation.
- Benefits: Long-term contract, potential extensions, and hybrid work model.
- Why this job: Join a dynamic team and work on cutting-edge data projects.
- Qualifications: Experience in Python, JavaScript, AWS, and active SC Clearance required.
- Other info: Great opportunity for career growth in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A notable tech consulting firm is seeking an experienced Data Science / Data Engineering Contractor for a hybrid role in London. You will design and develop data-driven applications, build data workflows, and maintain cloud-based AI platforms.
Ideal candidates will have extensive experience with:
- Python
- JavaScript
- AWS
Alongside a strong commercial background in data engineering or data science. An active SC Clearance is required. This outside IR35 contract offers long-term engagement with potential extensions.
SC-Cleared Data Scientist/Engineer – LLM & AWS (Hybrid) in London employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC-Cleared Data Scientist/Engineer – LLM & AWS (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech consulting world, especially those who work with data science or engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, JavaScript, and AWS. 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 your technical knowledge and problem-solving skills. Practice common data science and engineering questions, and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace SC-Cleared Data Scientist/Engineer – LLM & AWS (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, JavaScript, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this hybrid role. Share your passion for data-driven applications and how your background in data engineering or science makes you stand out.
Show Off Your SC Clearance: Since an active SC Clearance is a must, make sure to mention it prominently in your application. We need to know you’re ready to hit the ground running without any delays!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Searchability®
✨Know Your Tech Stack
Make sure you’re well-versed in Python, JavaScript, and AWS. Brush up on your knowledge of data workflows and cloud-based AI platforms. Be ready to discuss specific projects where you've used these technologies, as it shows your hands-on experience.
✨Showcase Your SC Clearance
Since an active SC Clearance is a must-have, be prepared to talk about your clearance status and any relevant experiences that required this level of security. This will demonstrate your reliability and trustworthiness to the employer.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you designed data-driven applications or built data workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s projects or their approach to data engineering. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
