Bachelor's degree in Data Science, Statistics, or a related field., Proficiency in programming languages such as Python or R., Experience with data visualization tools like Tableau or Power BI., Strong analytical and problem-solving skills..
Key responsibilities:
Analyze complex datasets to derive actionable insights.
Collaborate with healthcare professionals to improve patient outcomes.
Develop predictive models to support decision-making processes.
Present findings and recommendations to stakeholders and management.
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ZeroAge
2 - 10
Employees
About ZeroAge
ZeroAge provides mobile social gaming and “digital buddy” products that leverage a patented behavioral change analytic engine which incorporates ground breaking research from positive psychology, sociology, behavioral economics and neuroscience to deliver innovative strategies at individual, group and organization levels to achieve superior health outcomes at a lower cost per person.
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