DV-Cleared Data Scientist & AI Engineer – London On-Site

DV-Cleared Data Scientist & AI Engineer – London On-Site

London Full-Time 45000 - 95000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Dive into machine learning and AI projects, leading client engagements in a dynamic environment.
  • Company: Join a forward-thinking tech firm in the heart of London.
  • Benefits: Attractive salary, clearance bonus, and opportunities for professional growth.
  • Other info: Roles available from junior to lead levels, perfect for ambitious tech enthusiasts.
  • Why this job: Make an impact with cutting-edge technology while working on exciting public and private sector projects.
  • Qualifications: Experience in machine learning, GenAI, NLP, and cloud/DevOps tools.

The predicted salary is between 45000 - 95000 £ per year.

Searchability NS&D is recruiting an enhanced DV cleared Data Scientist / AI Engineer for an on-site role in Central London.

Junior to Lead levels are available, with a salary range £45k to £95k Do E plus a 15% clearance bonus.

The role requires hands-on expertise in machine learning, Gen AI, NLP and cloud/Dev Ops tools, with opportunities to work on public and private sector projects and lead client engagements.

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DV-Cleared Data Scientist & AI Engineer – London On-Site employer: Searchability NS&D

As a leading organisation in cyber security and technology transformation, our client offers an exceptional work environment in London, where you can engage with high-impact Defence and National Security programmes. With a strong focus on professional development, flexible working arrangements, and the opportunity to collaborate with seasoned experts, this role promises not only career progression but also the chance to tackle complex challenges that make a real difference in securing sensitive environments.

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Contact Details:

Searchability NS&D Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DV-Cleared Data Scientist & AI Engineer – London On-Site

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Searchability NS&D!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like DV-Cleared Data Scientist & AI Engineer – London On-Site at Searchability NS&D.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Searchability NS&D.

Apply Directly through Our Website

When you find a suitable opening like DV-Cleared Data Scientist & AI Engineer – London On-Site at Searchability NS&D, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace DV-Cleared Data Scientist & AI Engineer – London On-Site

Machine Learning
Generative AI (GenAI)
Natural Language Processing (NLP)
Cloud Computing
DevOps Tools
Client Engagement
Project Leadership

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Searchability NS&D, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Searchability NS&D. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Searchability NS&D

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Searchability NS&D!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.