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- Tasks: Design and deploy advanced ML and GenAI solutions in secure environments.
- Company: Leading tech firm at the forefront of AI and machine learning.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with leadership potential and excellent career advancement.
- Why this job: Join a dynamic team and make an impact with cutting-edge technology.
- Qualifications: 3+ years in Data Science, strong Python skills, and active DV clearance required.
The predicted salary is between 75000 - 75000 £ per year.
DV Cleared Data Scientist
Location: London (Hybrid)
Salary: Up to £75,000 base + bonus
We’re hiring a DV-Cleared Data Scientist to work at the cutting edge of AI, machine learning, and large-scale data systems within highly secure environments. This is a hands-on, delivery-focused role where you’ll design, build, and deploy advanced ML and GenAI solutions while acting as a technical leader on client engagements.
NOTE: You MUST hold active UK DV (Developed Vetting) Security Clearance to be considered. Applications without active DV clearance unfortunately cannot be progressed.
What You’ll Be Doing
- Designing and deploying machine learning models and large models (LLMs) in cloud and secure HPC environments
- Leading day-to-day technical delivery across projects and mentoring junior team members
- Acting as a subject matter expert across ML, AI architecture, and GenAI advancements
- Building scalable, production-grade data science solutions
- Working closely with stakeholders to translate complex requirements into technical solutions
- Driving innovation by staying current with emerging AI/ML trends and technologies
Essential Criteria:
- 3+ years of commercial Data Science experience
- Strong programming expertise in Python
- Experience with ML/AI systems, including at least one of:
- Agentic AI systems and architectures
- Retrieval-Augmented (RAG, Graph RAG)
- Computer Vision / Vision Models
- Audio processing
Desirable:
- Experience working with GPUs in cloud environments
- Familiarity with ML model monitoring and observability
- API development experience
- Exposure to CI/CD pipelines and DevOps practices
- Knowledge of data engineering principles
What Sets You Apart
- Strong analytical and critical thinking skills
- Ability to operate in client-facing environments and manage stakeholders effectively
- Comfortable working across a broad tech stack and integrating multiple systems
- A collaborative mindset with leadership potential
If you are a DV-cleared Data Scientist ready to lead cutting-edge AI solutions in secure environments, apply today.
Data Scientist in City of London employer: Energy Jobline ZR
Contact Detail:
Energy Jobline ZR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in secure environments. They might have insider info on job openings or can even refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any innovative solutions you've developed. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you a better chance of landing that dream job.
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, AI, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Show Off Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, Docker, or cloud services like AWS or Azure in your previous roles. This helps us see your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data science and how you can contribute to our team. Make it personal and engaging – we love to see your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific projects you've worked on, especially those involving Python, Docker, and cloud environments like AWS or Azure. The more you can showcase your hands-on experience, the better!
✨Show Off Your Leadership Skills
Since this role involves mentoring junior team members and leading technical delivery, be prepared to share examples of how you've successfully led projects or teams in the past. Highlight your ability to communicate complex concepts to non-technical stakeholders, as this will set you apart.
✨Stay Current with Trends
Demonstrate your passion for the field by discussing recent advancements in AI and machine learning. Mention any relevant trends or technologies you've been following, and how they could apply to the role. This shows you're not just experienced, but also enthusiastic about innovation.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of data governance, security best practices, and ML model monitoring. Practise explaining these concepts clearly and concisely, as you'll need to convey them effectively to clients and stakeholders.