Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

more. As
Cheltenham
4 days ago
Create job alert
Overview

GL50 Cheltenham £60000 - £75000 per year Self-Employed Recruiter

Job Type: Full time Permanent

Data Scientist

Cheltenham or London (50%+ WFH; the rest is spent in your closest office or visiting clients). Will gain a security clearance (must be eligible).

Role Summary

My client are a fast-growing SME supplying data and cyber security services to public and private sectors. They are looking to hire a Data Scientist to join the team and support on a range of projects for various clients and sectors. This role involves working on important government projects, so you will gain a security clearance (must be eligible).

Responsibilities
  • Apply data science methods on projects across government and private sectors
  • Act as a go-to figure for junior staff in Data Science
  • Engage in client-facing advisory or consultancy work
  • Work with technologies such as Python (and other coding languages), cloud infrastructure, CI/CD, and database technologies (SQL or NoSQL)
  • Contribute to project delivery and client solutions
Requirements
  • Experience in Data Science in a professional environment with junior mentorship responsibilities
  • Confident speaker with client-facing or consultancy experience
  • Strong proficiency in Python, cloud infrastructure, CI/CD, and database technologies (SQL/NoSQL)
Company & Contact

A self-employed recruiter working with SMEs in Technology, Cyber and Consulting. For contact or questions, please reach out via CV submission or WhatsApp. Phone contact: .

Additional Data Scientist Opportunities (Cheltenham)

Data Scientist – DV Clearance opportunities with other clients. Details below are standalone roles and are not a single job posting:

  • New Permanent Opportunity for a DV Cleared Data Scientist in Cheltenham for a national security consultancy
  • Active DV Clearance required; up to £85k DoE plus bonuses and benefits
  • 3 days on site per week in Cheltenham; skills in ML, AWS/Azure, Python, NLP, AI
What Will the Data Scientist Be Doing?

Apply creative data science and ML techniques; innovate and research solutions; stay current with ML and data technology; engage in full data science lifecycle; document technically; deliver high-quality project components; provide practical client solutions; assist in proposals; deepen understanding of defence/security AI and data transformation opportunities.

Key Skills and Requirements
  • Active DV Clearance
  • Experience applying data science or ML in Defence/Security, public sector, or academia
  • Proficiency with ML architectures and models
  • Strong problem-solving and communication skills
  • Cloud-based DS/ML services (AWS, Azure, GCP)
  • Python data libraries; experience with TensorFlow or PyTorch
  • Knowledge of NLP, CV, ethical AI considerations
  • Experience with workflow/pipelining tools (Kubeflow, MLFlow, Argo)
How to Apply

Ready to take your career to the next level? Apply online or email. For more information, call or WhatsApp a recruiter. Available outside standard hours (7am–10pm). By applying you consent to processing and submission of your application to our client for this vacancy only.

KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / Enhanced Clearance


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Palantir

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.