Data Scientist (eDV clearance required)

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact.

Key Responsibilities:

Leading client projects and providing subject matter expertise.
Working in scrum-like environments for iterative and 'fail-fast' work and innovation.
Assessing clients' business and technical needs to identify opportunities for data science usage.
Solving problems using data science techniques and in a scientifically robust fashion.
Identifying relevant data sources and leveraging them to meet client needs.
Modelling various forms of data for efficient data science use.
Investigating and analysing data to uncover meaningful insights.
Applying statistical and evidence-based techniques to inform insights and actions.
Communicating technical content appropriately both internally and to customers.
Building maintainable code using existing or novel data science techniques.
Designing, evaluating, and implementing data science and machine learning techniques.
Developing scalable models and algorithms for deployment in production environments.
Applying ethical principles in handling data.
Delivering high-quality work to agreed timelines and taking the initiative.
Supporting client engagements, including pitches and presentations.
Contributing to the company strategy and helping to shape the future.

Job Requirements:

DV Cleared (2023, 2024, 2025) or holding DV Clearance.
Experience in data science, machine learning algorithms, and data engineering.
Industry experience in consultancy, engineering, or data science.
Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP).
Proficiency in Python and relevant data science libraries.
Experience in using CI/CD tooling for code deployment and testing.
Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).
Understanding of coding best practices, design patterns, and versioning.
Strong interpersonal skills and the ability to communicate effectively with clients and colleagues.

Benefits:

Joining a dynamic and agile organisation.
Opportunities for professional growth and development.
Working in an environment that values transparency, fairness, and daring.
Collaborative and respectful work environment.
Hybrid working model with 2-3 days in the office or on a client site.
If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team

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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 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.