Job summary
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
About us
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.
Job description
Job responsibilities
For fuller information of main responsibilities for this post, a job descriptionhas been attached in the Documents section.
Job description
Job responsibilities
For fuller information of main responsibilities for this post, a job descriptionhas been attached in the Documents section.
Person Specification
Qualifications
Essential
- Postgraduate degree in management science, operational research, analytics, data science or similar discipline
- GCSE mathematics or equivalent
Experience
Essential
- 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
- 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
Person Specification
Qualifications
Essential
- Postgraduate degree in management science, operational research, analytics, data science or similar discipline
- GCSE mathematics or equivalent
Experience
Essential
- 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
- 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
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.
