At a Glance
- Tasks: Join a friendly team to analyse data and improve patient outcomes at Nottingham University Hospitals.
- Company: Be part of one of England's largest acute hospitals, dedicated to healthcare innovation and research.
- Benefits: Enjoy a hybrid work model, personal development opportunities, and a supportive workplace culture.
- Other info: We welcome diverse applicants and are committed to creating an inclusive workplace.
- Why this job: Make a real impact on healthcare while working with cutting-edge data techniques in a collaborative environment.
- Qualifications: Experience in R or Python, machine learning, and communicating data insights is essential.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist Nottingham University Hospitals NHS Trust Join or sign in to find your next job Join to apply for the Data Scientist Nottingham University Hospitals NHS Trust role at ZeroAge Data Scientist Nottingham University Hospitals NHS Trust 4 days ago Be among the first 25 applicants Join to apply for the Data Scientist Nottingham University Hospitals NHS Trust role at ZeroAge Get AI-powered advice on this job and more exclusive features. We sit in the centre of one of the largest data-rich acute hospitals in England, and we need your help to uncover and tell the stories hidden in our data! We Need You To Get close to, and stay close to the clinicians who are seeing patients, and the managers who are helping make improvements in our hospitals. Help us plan, prioritise, forecast, and simulate our way to better outcomes and experiences for patients. Identify and diagnose problems, decide how your data skills can be best applied, and then show us what your techniques can do. Actively help steer our improvement using the insight that you build from working in detail with our data. Help us share more of our code in public (we work mainly in R and python). NUH is a large acute trust (you can see our ED at work in recent series of \"24 Hours in A&E\"), and we are a data team well-connected to our senior decision-makers. There will never be less data available than there is today, and the rate that large hospitals generate data points is increasing. Our team is busy finding ways to uncover signal in the noise AND make it directly operationally useful to the people who can make and change decisions. We\'re a small and friendly team, and we\'re working on interesting and impactful work. Can you help us? This is a permanent hybrid role, split between days at home and days in the office in Nottingham. Our work covers a wide range of subjects, including inpatients, outpatients, theatres, diagnostics, elective work, emergency work, paediatrics, planning, and support for capital projects. You will be working alongside other data scientists and data analysts to: Build analysis and information products to help decision-makers understand their day to day reality, and help them plan and prioritise the most impactful next steps. Build models of our hospital\'s interactions in code, so that we can simulate and iterate our way through options together quickly and cheaply. Contribute to the modelling we do to support our annual planning process, which aims to achieve a 3-way balance between patient activity, budget, and available workforce. Build tools and infrastructure to help us make our data work faster, more efficient, and more repeatable. As a Band 7 Data Scientist You Will Probably Prefer to work in either R or python (we use both, as needed), and be familiar with collaborating with other team members using git. Have practical experience of applying things like machine learning, statistics, data wrangling, and dashboarding to real-world problems. Be familiar with communicating technical results to non-technical audiences, including making recommendations where supported with data. With over 19,000 staff, we are one of the biggest employers in the city with a central role in supporting the health and wellbeing of our local population. We play a leading role in research, education and innovation. Come and join our wonderful team at NUH. We are big believers in diversity and welcome new ideas to help develop our team in order to deliver world class healthcare to the vast patient populations we serve. With endless personal development opportunities available, at NUH we will endeavour to turn your job into a career! We particularly welcome applications from people who identify as Black, Asian and Minority Ethnic, or Disabled, as we are striving to be better represented at NUH. See The Attached File For The Detailed Job Description. If you have used LLMs (eg. ChatGPT, Claude, etc) to prepare your application, please say so in the application. Any applications containing obvious and undeclared use of LLMs will be rejected. Please note this is a hybrid role, and interviews will take place in person at Queens Medical Centre, Nottingham. This advert closes on Friday 9 May 2025 Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Science Industries IT System Data Services Referrals increase your chances of interviewing at ZeroAge by 2x Sign in to set job alerts for “Data Scientist” roles. 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Data Scientist Nottingham University Hospitals NHS Trust employer: ZeroAge
Nottingham University Hospitals NHS Trust is an exceptional employer, offering a dynamic and supportive work environment where data scientists can thrive. With a strong commitment to employee development, diversity, and innovation, our team collaborates closely with clinicians and decision-makers to drive impactful healthcare improvements. Enjoy the benefits of a permanent hybrid role in one of England's largest acute hospitals, where your contributions will directly enhance patient care and outcomes.
Contact Details:
ZeroAge Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Nottingham University Hospitals NHS Trust
✨Get to Grips with Data Visualisation Tools
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✨Engage with Online BI Communities
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We think you need these skills to ace Data Scientist Nottingham University Hospitals NHS Trust
Proficiency in R and Python
Machine Learning Techniques
Statistical Analysis
Data Wrangling
Dashboard Development
Experience with Git for collaboration
Strong Analytical Skills
Ability to Communicate Technical Results to Non-Technical Audiences
Problem-Solving Skills
Data Visualisation
Understanding of Healthcare Data
Simulation Modelling
Project Management
Adaptability in a Fast-Paced Environment
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at ZeroAge, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at ZeroAge
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with ZeroAge’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
