Data Scientist

Yolk Recruitment Ltd
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Data Scientist - Renewable Energy

MERITUS Talent are working with a national security consultancy who are in need of a Data Scientist to join their London customer site on a full-time, permanent basis. This incumbent of this role will need to hold an active SC Clearance, and be willing to be on site 5 days a week, with a salary on offer up to £75,000 per annum.

Job Title:Data Scientist
Location:London (Onsite, 5 days per week)
Clearance Required:SC Clearance

About the Role

We are seeking aData Scientistto work on projects at the heart of the UK's national security efforts. Based in London, you'll be onsite 5 days a week, using advanced analytics and machine learning to extract actionable intelligence from complex datasets. Due to the sensitive nature of this work, you must holdSC clearanceor be eligible to obtain it.

Key Responsibilities

  • Design, build, and deploy advanced analytical models to support intelligence and security operations.

  • Analyse complex, high-volume datasets (structured and unstructured) to identify patterns, trends, and anomalies.

  • Collaborate with cross-functional teams including intelligence analysts, data engineers, and policy experts.

  • Translate operational challenges into data science solutions that directly support national security outcomes.

  • Present findings clearly to stakeholders, including non-technical audiences, ensuring actionable insights.

  • Adhere to strict data security, confidentiality, and compliance protocols.

Skills & Experience Required

  • Proven experience as a Data Scientist, ideally in a government, defence, or security environment.

  • Strong programming skills in Python or R, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.

  • Solid understanding of statistical modelling, machine learning, and data mining techniques.

  • Experience with SQL and working with large-scale databases.

  • Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Matplotlib).

  • Exposure to natural language processing (NLP) or geospatial analysis is advantageous.

  • SC clearanceor the ability to obtain it (UK residency for at least 5 years is required).

What We Offer

  • Competitive salary and benefits tailored to national security roles.

  • The chance to work on meaningful projects with a direct impact on public safety.

  • Access to cutting-edge tools and technologies in a highly collaborative environment.

RnJhc2VyLlJpY2hpbmdzLjk2MDU0LjEyMjcxQHlvbGsuYXBsaXRyYWsuY29t.gif

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.