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- Tasks: Join our team as a Data Scientist, focusing on innovative AI projects and diverse data types.
- Company: Work with a leading tech and engineering firm in the National Security sector.
- Benefits: Enjoy a competitive salary up to £95,000, bonuses, and a central London location.
- Why this job: Be part of exciting projects that make a real impact in national security and innovation.
- Qualifications: Must have enhanced DV security clearance and a strong background in data science.
- Other info: Flexible application process; reach out anytime for more info!
The predicted salary is between 57000 - 95000 £ per year.
Permanent opportunity for a Data Scientist with enhanced DV security clearance in London.
Salary up to £95,000 + Clearance Bonus + Company Bonus.
We are recruiting a permanent Data Scientist to work with a leading technology and engineering company that does excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold enhanced DV security clearance.
What will the Data Science Engineer be doing?
As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software.
The Data Science Engineer should have:
- Strong and demonstrable technical background in data science
- Demonstrable experience developing & delivering data science strategies
- Experience with big data ecosystems, cloud infrastructure and analytic frameworks
- Techniques and toolkits for data cleansing, data processing and data preparation
- Any experience with techniques and toolkits for combining data or analysing data streams would be desirable
- Current enhanced DV security clearance
To be considered:
Please either apply by clicking online or emailing directly. For further information, please call. I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond.
By applying for this role, you give express consent for us to process & submit your application to our client in conjunction with this vacancy only.
Data Scientist Key Skills:
- Principal Data Scientist / Lead Data Scientist
- Machine Learning / ML
- NLP / Natural Language Processing
- Deep Learning
- Data Science
- LSTM / Long Short Term Memory
- CNN / Cognitive Neural Networks
- Cloud Infrastructure
- Artificial Intelligence
- Innovation
- Security Clearance
- DV Cleared
- SC Cleared
- SC Clearance
- DV Clearance
- Developed Vetting
- Deep Vetting
- Developed Vetted
Contact Detail:
Searchability NS&D Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - eDV Cleared
✨Tip Number 1
Make sure you highlight your experience with big data ecosystems and cloud infrastructure during any discussions. This is crucial for the role, and demonstrating your familiarity with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the National Security sector. Attend relevant meetups or online forums where you can connect with others in the field. This could lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data science strategies. Be ready to explain your thought process and the impact of your work, as this will demonstrate your practical experience and problem-solving skills.
✨Tip Number 4
Since enhanced DV clearance is a requirement, ensure you are fully aware of the implications and responsibilities that come with it. Being knowledgeable about security protocols can show your commitment to the role and the sensitive nature of the work.
We think you need these skills to ace Data Scientist - eDV Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical background in data science, experience with big data ecosystems, and any relevant projects you've worked on. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your enhanced DV security clearance and how your experience aligns with the innovative projects they undertake in the National Security sector.
Showcase Relevant Experience: When detailing your experience, focus on specific examples where you developed and delivered data science strategies. Highlight any work with AI, machine learning, or data processing techniques that are relevant to the position.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and clearly presented. A polished application reflects your attention to detail.
How to prepare for a job interview at Searchability NS&D
✨Showcase Your Technical Skills
Make sure to highlight your strong technical background in data science during the interview. Be prepared to discuss specific projects where you've developed and delivered data science strategies, especially those involving big data ecosystems and cloud infrastructure.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss the techniques and toolkits you used for data cleansing, processing, and preparation, as well as any experience with analysing data streams.
✨Understand the Importance of Security Clearance
Since this role requires enhanced DV security clearance, be ready to discuss your understanding of its significance in the National Security sector. Highlight your current clearance status and any relevant experiences that demonstrate your commitment to security protocols.
✨Familiarise Yourself with AI and Innovation
As the role focuses on innovation and AI, brush up on the latest trends and technologies in these areas. Be prepared to share your thoughts on how AI can be applied in data science and any innovative projects you've been involved in.
