Public Health Data Scientist: Social Care Insights (2-Year) in London

Public Health Data Scientist: Social Care Insights (2-Year) in London

London Temporary 36855 - 45045 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Lead projects modelling social care demand and turn data into actionable insights.
  • Company: Join the Methodist Church in Britain's Public Health Intelligence Team.
  • Benefits: Gain valuable experience in public health and data science over two years.
  • Other info: Engage directly with residents to incorporate their lived experiences.
  • Why this job: Make a real difference in community health while developing your skills.
  • Qualifications: Experience in epidemiology, statistics, and proficiency in Tableau and Python.

The predicted salary is between 36855 - 45045 Β£ per year.

The Methodist Church in Britain invites applications for a two-year fixed-term post in the Public Health Intelligence Team, supporting the Adult Social Care prevention programme in Hackney Council. You will lead end-to-end projects that model social care demand and embed population health management, turning data into actionable insight in Tableau and Python.

Experience in epidemiology and statistics is required, with opportunities to work directly with residents to incorporate lived experience.

Public Health Data Scientist: Social Care Insights (2-Year) in London employer: London Borough of Hackney

Hackney Council is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional development. As part of the Safety, Health, Environmental Quality (SHEQ) team, you will have the opportunity to make a meaningful impact on community safety while benefiting from comprehensive training and growth opportunities in the heart of London.

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Contact Details:

London Borough of Hackney Recruitment Team

We think you need these skills to ace Public Health Data Scientist: Social Care Insights (2-Year) in London

Data Modelling
Population Health Management
Tableau
Python
Epidemiology
Statistics
Data Analysis