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Job description

LAS Data Scientists use analytics to support operational service delivery and provide evidence for business and strategic decision making. This role will be instrumental in bringing together our datasets through the use of mathematical models, dynamic reporting, and creative visualisation, to drive forward our ambition of making the LAS a world-class service. Working on a variety of projects across the organisation, the role will include many aspects of data science, from algorithm development and implementation of modelling methods, to data engineering and the application of advanced statistical techniques. Recommendations derived from your work will shape the delivery of an evolving service in a challenging healthcare environment. This role will also involve a mixture of home and office working.

An exciting opportunity has arisen for a post as a Data Scientist within the Forecasting & Planning team. This role will be a 12 month fixed term contract in the first instance, with a high likelihood of becoming a permanent post shortly after appointment. The successful candidate will need to come to the office some of the time. You will join an enthusiastic and technically-minded team as part of a high profile and influential organisation. This is a great opportunity for someone interested in using their data science skillset to tackle urgent challenges facing critical public services. The role also involves communicating with colleagues from across the strategic, operational and executive teams, so confidence in presenting complex findings to non-statistical audiences is essential. The ideal candidate will have knowledge of areas such as:

• Forecasting and time-series modelling
• Supervised & unsupervised learning
• Programming (R and/or Python, SQL)
• Advanced analytics such as multivariate statistics and machine learning
• Data visualisation and reporting

London Ambulance Service NHS Trust is the busiest ambulance Trust in the UK. We are seeking someone who will fit with the Trust values of being respectful, professional, innovative and collaborative. The team is well established in the organisation and central to strategic and operational planning. We are part of the wider Performance and Analytics directorate who together cover data quality, business intelligence, and forecasting and planning for urgent and emergency healthcare services. The directorate is key to ensuring that LAS is a data driven organisation, with decisions being informed by timely and high quality analysis.

Annual leave starts at 27 days rising to 33 days, plus bank holidays, in line with Agenda for Change. Employees can access Blue Light (emergency services) discounts as well as NHS discount schemes.

• Thoroughly and accurately scope requirements for projects, realising the needs of the end user and capability and limitations of existing systems;
• Liaise and negotiate with internal and external customers to meet information requirements in an efficient and cost effective way;
• Use tact and diplomacy skills to aid in the dissemination of complex information to internal and external customer at all levels;

Please see the Job Description and Person Specification for further details.

About NHS

CEO: Amanda Pritchard
Revenue: $5 to $25 million (USD)
Size: 10000+ Employees
Type: Government
Website: www.nhs.uk
Year Founded: 1946