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

The Christie NHS Foundation Trust
Manchester
1 day ago
Create job alert
Overview

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 work with Analysts, Data Scientists and Statisticians on projects with stakeholders throughout the Christie, extracting insights from hospital-collected data to inform improvements in clinical and operational areas. With an organised, enthusiastic and inquisitive approach you will be able to work to tight deadlines, multitask, and respond to stakeholder requirements while ensuring work is completed to timescales and Trust requirements.


Duties and responsibilities
  1. To support clinicians, researchers and non-clinical staff in performing statistical analysis and producing data models.
  2. To use data and technical analysis to extract insight from data for clinical and operational purposes, identifying solutions and recommending process and business rule improvements.
  3. To interpret statistical results and explain them verbally and in writing so they are understood by non-statisticians.
  4. To advise on appropriate techniques for data analysis and interpretation, guiding analysts when data science and statistical work are feasible.
  5. To identify and recommend improvements in reporting, software or other systems to enhance performance or data accuracy.
  6. To utilise explorative data science techniques to extract usable insights and explain data-driven recommendations through clear visualisations.
  7. To explore and stay up-to-date with modelling techniques, advising on those optimal for the purpose.
  8. To ensure selected techniques remain fit for purpose through ongoing monitoring and robust data pipelines.
  9. To plan own workload and projects appropriately.
  10. To test own work and peer-review team members’ work.
  11. To support the learning of team colleagues and mentor junior team members.
  12. To create and maintain documentation on analysis undertaken for tools and reports for CODU projects.
  13. Any other duties commensurate with the post and grade as requested by the Lead Data Scientist.

Communication and relationships
  1. Communicate professionally with senior clinicians and service managers, which may require the use of clinical terminology to discuss issues in detail.
  2. Represent the CODU and Digital Services in internal and external meetings; travel and build effective working relationships with partner organisations as required.
  3. Advise, support and lead on reporting at appropriate directorate, divisional, and Trust level meetings.
  4. Be a point of contact for CODU, managing queries, problems, requests and incidents, ensuring they are logged and tracked.
  5. Lead, manage and action the resolution of assigned tasks efficiently and professionally; conform to Trust and departmental procedures and seek further advice when necessary.

Knowledge, training and experience
  1. Research and understand complex, multi-departmental clinical data flows and apply advanced understanding of specialty-specific data.
  2. Expertise in understanding problems and using software to provide data insight tools with appropriate analytical techniques.
  3. Exceptional attention to detail to ensure high-quality and efficient new processes.
  4. Work closely with digital services teams (software development, data engineering) to understand cross-work stream implications.
  5. Support performance management and income teams; awareness of NHS financial and performance reporting.
  6. Be continuously aware of changes to working practices across the trust and ensure products reflect stakeholder expectations.

Analytical
  1. Apply statistical and analytical knowledge to critically appraise results and deliver meaningful information to clinical/business stakeholders.

Responsibility – policy and service
  1. Act as an ambassador for CODU by developing and maintaining excellent relationships with users and delivering against local requirements and national targets.
  2. Lead in developing and maintaining a culture of service provision and continuous improvement for own areas.
  3. Implement policies for own work area and propose changes in line with legislation, Trust and NHS guidelines across the Trust where appropriate.
  4. Participate to ensure services reflect best practice with respect to NHS and legislative requirements including ITIL, Data Protection Act, Information Standards, Information Security and NHS Information Governance.
  5. Participate in Information Governance and security as required and ensure appropriate governance and security in own area.
  6. Ensure change management is applied and that documentation is complete and fit for purpose.
  7. Participate in Root Cause Analysis (RCA) for allocated incidents and problems; liaising with other Trust Managers as appropriate.

Responsibility – staff/HR/leadership training
  1. Responsible for line management of own team, ensuring resources are deployed to maximise efficient and effective delivery of support services to patients and users.
  2. Provide regular performance reports on progress, status and achievements for own area.
  3. Undertake and support staff development in line with personal development guidance.

Responsibility – finance and physical
  1. Be responsible for the safe use of ICT hardware and software.
  2. Monitor maintenance and support contracts; liaise with third party suppliers to identify value-for-money contracts.
  3. Liaise with external agencies, suppliers and contractors to ensure service delivery aligns with contracts.
  4. Support business appraisals and business case production; undertake solution searches and appraisals of supplier proposals.
  5. Follow Trust procurement processes and contribute to procurement documentation as required; ensure SFIs and procurement guidelines are adhered to.

Project management
  1. Advise and participate in the development and implementation of projects, ensuring integrated solutions and user objectives are achieved.
  2. Deliver project tasks in line with agreed timescales and budgets.
  3. Support project boards and teams; present to staff as required.
  4. Ensure project documentation and reports meet agreed standards and timescales.

Business Continuity Management
  1. Participate in development, exercising, maintaining and reviewing business continuity plans and impact analyses.
  2. Be familiar with the Trust Business Continuity Plan and personal responsibilities.

This advert closes on Monday 10 Nov 2025


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist | AI Tech Start-Up in London

Data Scientist | AI Tech Start-Up in City of London

Lead Data Scientist | Health

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.