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Job summary

Main area
Data Scientist
Grade
Band 7
Contract
Permanent
Hours
Full time - 37.5 hours per week
Job ref
308-CORP-3092
Employer
London Ambulance Service NHS Trust
Employer type
NHS
Site
London Ambulance Service NHS Trust Headquarters
Town
London
Salary
£56,276 - £63,176 per annum inclusive of HCAS
Salary period
Yearly
Closing
30/08/2025 23:59

Employer heading

London Ambulance Service NHS Trust logo

Data Scientist

Band 7

Our vision is to deliver outstanding emergency and urgent care whenever and wherever needed for everyone in London, 24/7, 365 days a year.  We are the busiest emergency ambulance service in the UK serving one of the world’s most dynamic and diverse cities. We provide emergency and urgent healthcare that is free to patients at the time they receive it.

We are the only NHS provider trust to serve the whole of London and the nine million people who live in, work in or visit the city.  We cover an area of 620sq miles and have more than 8,000 people who work or volunteer for us – rising to 10,000 when including bank staff and students.

We answer around two million 999 calls a year and our crews attend more than 3000 emergencies a day. Our 24-hour 111 integrated urgent care services London answer around two million calls a year.

We play a leading role in integrating access to emergency and urgent care in the capital and are striving to ensure patients receive the right response, in the right place, at the right time

Our main role is to respond to emergency 999 calls, providing medical care to patients across the capital, 24-hours a day, 365 days a year. Other services we offer include providing pre-arranged patient transport and finding hospital beds. Working with the police and the fire service, we are prepared for dealing with large-scale or major incidents in the capital.

 

 

Job overview

LAS Data Scientists use analytics and insights 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.

Main duties of the job

An exciting opportunity has arisen for a post as a Data Scientist within the Forecasting & Planning team. The successful candidate will need to come to the office 3 days per week. 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)
  • R shiny app development
  • Data visualisation and reporting
  • Linux operating system

Working for our organisation

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.

Detailed job description and main responsibilities

For fuller information of main responsibilities for this post, a job description has been attached in the Documents section. 

Person specification

Qualifications

Essential criteria
  • Postgraduate degree in management science, operational research, analytics, data science or similar discipline
  • GCSE mathematics or equivalent

Experience

Essential criteria
  • Extensive experience of producing, analysing and interpreting data information in a work environment, with significant evidence of the underlying theory of around data exploration, statistical inference, predictive analytics and making recommendations
  • Extensive experience of working with complex, conflicting, sensitive and contentious information
  • Experience and expertise in conducting thorough data analysis, mining and modelling in a work environment (A);
  • Experience of using databases in SQL Server or MS Access in a work environment (including creating complex queries using structured query language to extract data and create reports)

Knowledge

Essential criteria
  • Ability to analyse complex and sometimes conflicting data sets, with a logical approach
  • Ability to extract sensitive information from databases/datasets to help understand a process or solve a problem and make informed recommendations based on detailed data insight
  • Ability to scope, develop and tailor decision support tools to meet users specification and requirements
  • Excellent written and oral communication skills
  • Ability to make own decisions on how issues should be resolved and how results are best achieved, implementing those decisions as appropriate
  • Knowledge of machine learning techniques, simulation, optimisation and advanced multivariate statistics
  • Proficiency in one or more computer programming language (preference for R, or Python)
  • Excellent interpersonal skills, including ability to negotiate and persuade
  • Confidence in adapting to new software and programming languages
  • High level of personal motivation with the ability to work independently using own initiative, or as part of a team
  • Commitment to and understanding of Equal opportunities and Diversity both as an employee and a provider of services to the public
  • Possitive attitude towards learning and development demonstrated by a record of continuing professional development

Employer certification / accreditation badges

Apprenticeships logoLondon Living Wage EmployerDisability confident employerStep into healthApprenticeships Top 100 Employers 2024

Documents to download

Apply online now

Further details / informal visits contact

Name
Nic Daw
Job title
Director of Performance
Email address
[email protected]
Telephone number
07867 360594

If you have problems applying, contact

Address
220 Waterloo Road
London
SE1 8SD
Telephone
[email protected]
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