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

Apply Now

Data Scientist

The Christie NHS Foundation Trust
Manchester
4 days ago
Create job alert

This is an exciting opportunity to join The Christie's Clinical Outcomes and Data Unit (CODU) as a Data Scientist. The CODU's strategy is to improve patient outcomes through the robust selection, analysis, and visualisation of data. We work closely with colleagues across the trust to support the use of data in clinical and operational decision making. We are experts in data visualisation, creating data analysis tools, and helping colleagues to use these tools in their daily work.


In this role you will be involved in supporting data quality improvement, utilising NLP and machine learning methods to prepare the way for exciting developments aligning to Future Christie aims.


You will be expected to work with the Analysts, Data Scientists and Statisticians within the team, working on projects with stakeholders throughout the Christie, extracting insights from data collected throughout the hospital to be presented back to clinical and operational teams to inform improvements in the hospital.


With your organised, enthusiastic and inquisitive approach you will be able to work to tight deadlines, be a good multitasker and have a mindset for exploring data, responding to the requirements of stakeholders, ensuring the work is completed to agreed timescales and Trust requirements.


Responsibilities

  • To support clinicians, researchers and non-clinical staff in performing statistical analysis and producing data models.
  • To use data and technical analysis to extract insight from data for clinical and operational purposes, identifying solutions, recommending process and business rule improvements.
  • To interpret statistical results and explain them, verbally and in writing, so as to be understood by non-statisticians.
  • To advise on the appropriate techniques for data analysis and interpretation, advising analysts when data science and statistical work is feasible.
  • To identify and recommend improvements in reporting, software or other systems, which contribute to the performance of the systems or accuracy of data.
  • To utilise explorative data science techniques to extract usable insights from data and explain data‑driven recommendations to others through clear visualisations.
  • To explore and stay up-to-date with various modelling techniques, advising on those optimal for the purpose.

The Christie is one of Europe's leading cancer centres, treating over 60,000 patients a year. We are based in Manchester and serve a population of 3.2 million across Greater Manchester & Cheshire, but as a national specialist around 15% of patients are referred to us from other parts of the country. We provide radiotherapy through one of the largest radiotherapy departments in the world; chemotherapy on site and through 14 other hospitals; highly specialist surgery for complex and rare cancer; and a wide range of support and diagnostic services. We are also an international leader in research, with world first breakthroughs for over 100 years. We run one of the largest early clinical trial units in Europe with over 300 trials every year. Cancer research in Manchester, most of which is undertaken on the Christie site, has been officially ranked the best in the UK.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Outside IR35

Data Scientist - AI Agents - Remote - Outside IR35

Data Scientist- £450PD- Hybrid

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.