Data Science Engineer

Roke Manor Research Limited
Woking
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Engineer, Tennis

Applied AIML Lead- Python & Data Science Engineering

Senior Data Scientist

Principal Data Scientist

Junior Data Engineer (Data Science)

Data Engineering & Data Science Consultant

Data Science Engineer

National Security Business
Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous.

Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering.

Role
As a Data Science Engineer, you’ll be actively involved in development of mission critical technical solutions that focus on data services for our National Security customers.

As our next Data Science Engineer, you’ll be working with datasets of varying sizes to cleanse, manipulate, fuse and explore; allowing our customers to make faster, more accurate decisions and keep the nation safe.

The key requirements

  • Experience with scripting languages like Python for data exploration, cleansing and manipulation.
  • A knowledge of machine learning models and statistical techniques, including validation.
  • An understanding of data analytics and data visualisation techniques.
  • Able to process large datasets via batch or stream processing using Apache Spark or similar.
  • Exposure to techniques used for acquiring and fusing data.


The below skills and experience would also be a bonus:

  • Cloud platforms (preferably AWS) or implementing cloud-based data science solutions.
  • Knowledge of, or willingness to learn DataOps.
  • Structured or unstructured database experience.
  • Container experience, including Docker and Kubernetes.
  • Agile ways of working.
  • Software best practices including version control and CI/CD pipelines for automated testing and deployment.
  • Familiarity with linux.


Built on over a 60-year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe that’s our mission, passion, and motivation.

We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey.

Where you’ll work
You’ll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified you’ll feel better for visiting. This site provides key links to our customers in London, is a 5-minute walk from the train station, has secure parking nearby and dedicated cycle storage.

There is an expectation that a significant proportion of your time will be spent working on customer sites in the London area.

Clearances
Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the U.K. for the last 10 years.

The next step
Click apply, submitting an up-to-date CV. We look forward to hearing from you.


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.