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

Apply Now

Senior Data Scientist

Anson McCade
Cheltenham
3 weeks ago
Create job alert
Overview

Direct message the job poster from Anson McCade

Clearance: Must hold Active SC clearance

A leading digital consultancy is looking for a Senior Data Scientist to lead and deliver cutting-edge AI/ML solutions for clients across UK defence and public sector. This is a hands-on, strategic position for someone who thrives at the intersection of data science, client delivery, and software product design.

What You'll Be Doing
  • Lead technical project delivery and shape data science strategy across multiple client engagements
  • Define and implement bespoke machine learning algorithms to solve real-world defence problems
  • Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact
  • Mentor and support other data scientists across project teams
  • Contribute to the wider data science community via open-source projects, public speaking, or technical training
  • Collaborate with software engineers, product teams, and designers to inform secure, deployable AI solutions
Key Skills & Experience Required
  • Senior-level experience in data science or a quantitative field
  • Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn)
  • Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar)
  • Strong mathematical/statistical background
  • Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL)
  • Experience leading data science teams and managing project timelines
  • Excellent communication and stakeholder engagement skills
  • SC clearance and British citizenship are mandatory

This is an exciting opportunity to apply data science in a meaningful, mission-focused environment while influencing the future of AI in defence. Apply now to learn more!

Notes
  • Location references and job postings timestamps (e.g., various UK locations and posting dates) are kept for context but not as active part of the job description.
  • All roles and responsibilities reflect the information provided and are suitable for candidate evaluation.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist

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.