South Western Ambulance Service NHS Foundation Trust
The Data Science Manager will lead the organisation's Data Science workstream by ensuring accurate and innovative use of data and defining the future scope and challenges of delivering emergency and other healthcare services for the South West of England; enabling the Service to respond rapidly and effectively to changes in patient care, demands, working practices, internal and external factors. They will oversee the primary Data Science functions within the Finance Directorate, and oversee the use of information and data science for the wider Trust and work closely with partners. The Data Science Manager will be pivotal in ensuring that the organisation is ready for the challenges it faces in the upcoming years, and providing meaningful mitigations and plans to continue to deliver high quality patient care. Main duties of the job
Provide statistical insight about SWAST, including robust analytics surrounding activity and performance. Act as leader for team projects, having responsibility for the delivery, and accountability for the technical work of the directorate. Lead projects to design, develop, test and validate machine learning models and predictive systems to improve analyses. Use mathematical, statistical and operational research 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. 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. Develop, contribute to, and challenge strategies and plans, proactively identifying and recommending improvement opportunities with quantifiable evidence. Undertake regular and valued 1:1's, team meetings and career conversations. About us
Working for us is an experience like no other. We provide emergency and urgent care, 24 hours a day, 365 days a year, operating across the largest ambulance region in England of 10,000 square miles and responding to an average of 2,650 incidents every day. We remain committed to ensuring that we provide the best possible care for all our patients, which is reflected in our new five-year strategy which has continually improving patient care at its very core. At the heart of our beautiful and diverse region we employ over 6000 people and are supported by over 575 volunteers. If you embody our values of one team, compassionate and innovative and are looking to make a real difference to peoples' lives, then we would love to hear from you. In return we will equip you with the skills, resources and development you need to thrive in your role. You will have opportunities to progress to roles at a higher pay grade and enjoy continuous professional development. A standard working week of 37.5 hours Holiday entitlements of 27 days per year, plus general and public holidays, rising to 29 days after 5 years and 33 days after 10 years Pay enhancements for out of hours, shift and overtime working Career and salary progression Car leasing scheme Free parking across Trust sites Cycle-to-work and other salary sacrifice schemes Staff networks Access to a wide range of discounts from various organisations across the UK Person Specification
Education and Qualifications
Educated to a Degree level or equivalent experience in a Senior Analytical, Software Engineer, Statistics, Mathematical or Data Scientist Role A Level at C or above in mathematics, statistics, computer science or equivalent work experience Proficiency in SQL Proficiency in Python and/or R programming language Extensive experience of producing, analysing and interpreting data information, with significant evidence of the underlying theory around data exploration, statistical inference and predictive analytics. Practical experience and expertise in conducting thorough data analysis, mining and modelling in a work environment Practical experience with machine learning techniques, visualisation best practice, simulation, optimisation and advanced multivariate statistics Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
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The Data Science Manager will lead the organisation's Data Science workstream by ensuring accurate and innovative use of data and defining the future scope and challenges of delivering emergency and other healthcare services for the South West of England; enabling the Service to respond rapidly and effectively to changes in patient care, demands, working practices, internal and external factors. They will oversee the primary Data Science functions within the Finance Directorate, and oversee the use of information and data science for the wider Trust and work closely with partners. The Data Science Manager will be pivotal in ensuring that the organisation is ready for the challenges it faces in the upcoming years, and providing meaningful mitigations and plans to continue to deliver high quality patient care. Main duties of the job
Provide statistical insight about SWAST, including robust analytics surrounding activity and performance. Act as leader for team projects, having responsibility for the delivery, and accountability for the technical work of the directorate. Lead projects to design, develop, test and validate machine learning models and predictive systems to improve analyses. Use mathematical, statistical and operational research 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. 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. Develop, contribute to, and challenge strategies and plans, proactively identifying and recommending improvement opportunities with quantifiable evidence. Undertake regular and valued 1:1's, team meetings and career conversations. About us
Working for us is an experience like no other. We provide emergency and urgent care, 24 hours a day, 365 days a year, operating across the largest ambulance region in England of 10,000 square miles and responding to an average of 2,650 incidents every day. We remain committed to ensuring that we provide the best possible care for all our patients, which is reflected in our new five-year strategy which has continually improving patient care at its very core. At the heart of our beautiful and diverse region we employ over 6000 people and are supported by over 575 volunteers. If you embody our values of one team, compassionate and innovative and are looking to make a real difference to peoples' lives, then we would love to hear from you. In return we will equip you with the skills, resources and development you need to thrive in your role. You will have opportunities to progress to roles at a higher pay grade and enjoy continuous professional development. A standard working week of 37.5 hours Holiday entitlements of 27 days per year, plus general and public holidays, rising to 29 days after 5 years and 33 days after 10 years Pay enhancements for out of hours, shift and overtime working Career and salary progression Car leasing scheme Free parking across Trust sites Cycle-to-work and other salary sacrifice schemes Staff networks Access to a wide range of discounts from various organisations across the UK Person Specification
Education and Qualifications
Educated to a Degree level or equivalent experience in a Senior Analytical, Software Engineer, Statistics, Mathematical or Data Scientist Role A Level at C or above in mathematics, statistics, computer science or equivalent work experience Proficiency in SQL Proficiency in Python and/or R programming language Extensive experience of producing, analysing and interpreting data information, with significant evidence of the underlying theory around data exploration, statistical inference and predictive analytics. Practical experience and expertise in conducting thorough data analysis, mining and modelling in a work environment Practical experience with machine learning techniques, visualisation best practice, simulation, optimisation and advanced multivariate statistics Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
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