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  • Job
    Full-time
    Mid & Senior Level
  • London

AI generated summary

  • You should have skills in forecasting, supervised/unsupervised learning, R/Python/SQL programming, advanced analytics, and data visualization/reporting.
  • You will analyze data to support operations, inform strategic decisions, create models and reports, and drive service improvements through various projects in a flexible work environment.

Requirements

  • Skills required for the job:
  • - 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

Responsibilities

  • Job Responsibilities:
  • - Use analytics to support operational service delivery
  • - Provide evidence for business and strategic decision making
  • - Bring together datasets through mathematical models, dynamic reporting, and creative visualization
  • - Drive forward ambition of making the LAS a world-class service
  • - Work on a variety of projects across the organization
  • - Involve aspects of data science, algorithm development, modeling methods, data engineering, and advanced statistical techniques
  • - Shape the delivery of an evolving service in a challenging healthcare environment
  • - Involve a mixture of home and office working

FAQs

Do we support remote work?

Yes, we offer a hybrid work model that includes a mixture of home and office working.

What qualifications are needed for the Data Scientist position?

The ideal candidate should have knowledge in forecasting and time-series modeling, supervised and unsupervised learning, programming (R and/or Python, SQL), advanced analytics, and data visualization and reporting.

What is the main focus of the Data Scientist role?

The main focus is to use analytics to support operational service delivery and provide evidence for business and strategic decision-making, alongside developing mathematical models and dynamic reporting.

What type of organization is the London Ambulance Service NHS Trust?

The London Ambulance Service NHS Trust is the busiest ambulance Trust in the UK, focusing on urgent and emergency healthcare services.

How many days of annual leave do employees receive?

Employees start with 27 days of annual leave, which rises to 33 days, plus bank holidays, in line with Agenda for Change.

Who can I contact for more information or informal visits?

You can contact Luke Rogerson, the Head of Data Science, via email at luke.rogerson@nhs.net.

What values does the London Ambulance Service NHS Trust uphold?

The Trust values being respectful, professional, innovative, and collaborative.

Will there be opportunities to present findings to non-statistical audiences?

Yes, the role involves communicating complex findings to colleagues across strategic, operational, and executive teams, requiring confidence in such presentations.

What types of projects will the Data Scientist be involved in?

The Data Scientist will work on a variety of projects across the organization related to data science, algorithm development, modeling methods, data engineering, and advanced statistical techniques.

Is experience in advanced analytics such as machine learning required?

Yes, knowledge of advanced analytics, including multivariate statistics and machine learning, is an important aspect of the role.

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Science & Healthcare
Industry
5001-10,000
Employees
1965
Founded Year

Mission & Purpose

The London Ambulance Service NHS Trust provides emergency medical services across London, offering rapid response to 999 calls and delivering pre-hospital care. Their ultimate mission is to save lives and improve the health of the London community by delivering high-quality emergency care. Their purpose is to ensure timely and effective medical assistance to those in urgent need, enhancing patient outcomes and supporting overall public health and safety.