Senior Data Scientist

Cheltenham
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - National Security (TIRE) based in Cheltenham/Hybrid

Senior Data Scientist | AI Engineer | National Security Consultancy | Cheltenham, London or Manchester | Up to £100,000 + 15% bonus | DV Clearance Required

MERITUS are working with a global tech consultancy looking for an experienced Data Scientist / AI Engineer to join their National Security consulting team working with UK National Security customers.

This is an exciting opportunity to design and deliver AI-driven projects that address real-world business challenges across various industries. The ideal candidate will bring deep expertise in machine learning, Generative AI (GenAI), and cloud technologies, alongside a proven ability to lead technical teams and deliver impactful results.

The role can be based at either their Cheltenham, Manchester or London sites & requires active DV security clearance.

Key Responsibilities:

Develop cutting-edge AI and analytics solutions, leveraging advanced data science techniques such as machine learning, NLP, and deep learning.
Work closely with clients to understand their needs, present technical solutions, and ensure project goals are met effectively.
Build and deploy scalable AI models on platforms like AWS, Azure, or Google Cloud, using tools such as Kubernetes and Terraform.
Lead technical teams in Agile environments, offering guidance, managing risks, and ensuring timely project delivery.

Required Skills:

Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and platforms like Databricks or AzureML.
Demonstrable experience with cloud platforms and CI/CD pipelines (e.g., Jenkins, Docker, ArgoCD) for deploying AI solutions.
Strong ability to explain complex data science solutions to clients and inspire project teams.
Active DV security clearance.

Package Details:

Salary up to £100,000
15% bonus
25 days holiday + bank holidays
6% pension matched
Private medical insurance.

Got your attention?

If you believe that you have the skills and experience for the role - then please get in touch. We also offer a referral scheme for any candidates whose details are passed to us that we successfully place. If you have any further questions then please contact Ryan Harris at MERITUS Talent

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.