Job description
South West Ambulance Service NHS Foundation Trust (SWAST) are looking for an enthusiastic and passionate Associate Data Scientist to join our Data Science team, which sits within the wider Data, Analytics and Insight team.
We aim to grow our team’s expertise and capability to provide insights to aid evidence-based decision making, using an array of data science techniques such as time series forecasting, regression modelling, statistical modelling and hypothesis testing, discrete event simulation, natural language processing and process mapping.
We are looking for a person who is logical and methodical, has an interest in all things data science and sees problems as opportunities. We are committed to personal development and will provide the space and resources to enable the person to develop both themselves and the Data Science team, with an aim to better integrate and enhance modelling capacity in the Trust and contribute to the Trust’s strategic aims.
The Associate Data Scientist will assist the Data Science team in all manner of operational investigations, predictive data analytics and modelling, providing evidence for strategic and operational decisions, and support the Associate Director of Operations (Resource Management) in shaping the wider organisation.
Please note we aim to hold in-person interviews in Exeter for this role.
Provide statistical insight about SWAST, including robust analytics surrounding activity and performance.
Support the translation of analytical findings into real-world processes and as such provide evidence for service redesign.
Support projects to design, develop, test and validate intelligent modelling and predictive systems to improve information sharing and analysis.
Use mathematical, statistical and operational strategy techniques to effectively model and analyse a variety of statistical information, and make recommendations based on findings to improve operational, tactical and strategic business decisions.
Develop and refine data visualisation systems to present analytical results.
Make recommendations and determine impact of proposed strategic and operational changes using data-driven approaches.
Communicate findings to all levels of management and respond tactfully to challenge of assumptions and results.
Support team projects and take accountability for the technical content and output.
Critically review work and analytical findings produced by the team and colleagues.
Work with local university and experts to validate new methodologies and proposed models; including writing proposals for additional funding.
At South Western Ambulance Service NHS Foundation Trust (SWASFT) we have a culture where everyone is valued for being themselves. Our aim is to work together to promote the most inclusive environment possible, which attracts people from the widest range of backgrounds and experiences to enrich the work that we do together, for the benefit of all of our employees, our patients and the communities we serve. We offer flexible working opportunities, inclusive policies and a range of feedback mechanisms to support individuals and to enable a positive, welcoming environment where our people and their careers can thrive in.
We employ over 5,000 employees mainly clinical, operational and emergency response staff as well as supporting roles. We also employ Doctors and volunteers which include community first responders and fire co-responders.
We take all the steps needed to provide the most compassionate patient care possible whilst also providing an enjoyable and safe place to work. We actively promote a positive set of behaviours as being key to our performance both individually and collectively. Our recruitment, selection and screening processes are designed to uphold these standards and we invite all our candidates to actively share with us through these processes how they will bring these behaviours to life.
To view the Trust's Mission, Vision, Values and Goals click here
For further information about this role please see attached the job description and person specification attached.