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

Apply Now

Data Scientist

Imperial College London
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

This is a unique opportunity for an Data Scientist to contribute to an innovative and multidisciplinary project, which focuses on developing a novel breath test for the early detection of gastrointestinal cancers (oesophageal, gastric, liver, pancreatic and colorectal).

This position is funded by NIHR as part of the PANACEA (PAN Alimentary Cancer Exhaled breath Analysis) programme, led by Professor George Hanna. You will join a collaborative and dynamic team, working closely with internal and external colleagues, including leading scientists from Imperial College and partner institutions.


In this role, you will be responsible for driving key aspects of the PANACEA research programme, specifically:

Manage the day-to-day running of volatile organic compound analytical laboratory with a focus on the breath analysis workflow. Untargeted/chemometric data analysis of large mass spectrometry datasets; Develop predictive models and data analysis pathways; Ensure models and pathways generated are compliant with relevant international standards; Support the development of quality control pathways to increase quality and productivity. Work closely with PANACEA co-applicants and collaborators, and other members of the laboratory.


You are expected to hold A-levels/Degree in relevant scientific subjects or equivalent vocational qualifications, plus work experience, preferably in a relevant technical/scientific role or the equivalent work experience in a relevant technical or scientific role. It is also expected for you to be familiar with chemometric analysis of large datasets in languages such as Python or R.


The chance to work with a leading research group led by Professor George Hanna, a world-leading expert in breath analysis.Exceptional opportunity to work within a highly collaborative and supportive environment and contribute to high-impact research in the field of cancer diagnostics.Enhance your career and personal development and the opportunity to continue your career at a world-leading institution

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 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.