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Job Summary

The data scientist role is an opportunity to apply for, it is within the Prevention and Population Health Unit based at the trust. The Unit works with other key partners in Wolverhampton including Wolverhampton City Council and the other members of the One Wolverhampton place-based partnership and aims to help health and social care services better identify the needs of the local population and shift the focus from treatment to prevention and early intervention.

We are looking for a capable and enthusiastic individual with a background in Data Science. You will be eager to develop your technical skills and gain further experience helping deliver insightful and impactful population health analysis.

Main duties of the job

Your responsibilities will mainly involve applying data science techniques to a wide range of health-related data sets in order to provide insights on the health of the population in the Wolverhampton place-based area.

We encourage interest from individuals with interest and experience in: R/R Studio, Python, MS Excel, SQL, PowerBI, machine learning, statistical analysis, and reporting on complex data.

About us

The Royal Wolverhampton NHS Trust is one of the largest NHS trusts in the West Midlands providing primary, acute and community services and we are incredibly proud of the diversity of both our staff and the communities we serve. We are building a workforce that can help us to fulfil our values, improve the quality of care for patients, and solve the health care problems of tomorrow. We’re passionate about the value that diversity of thinking and lived experience brings in enabling us to become a learning organisation and leader in delivering compassionate care for our patients.

We are delighted that we have been rated as “Good” by CQC. We have achieved numerous awards; The Nursing Times Best Diversity and Inclusion Practice and Best UK Employer of the Year for Nursing Staff in 2020.

The Trust is a supportive working environment committed to creating flexible working arrangements that suit your needs and as such will consider all requests from applicants who wish to work flexibly.

Job description

Job responsibilities

To provide statistical insight and analysis of population health in Wolverhampton.

Be able to explain complex information to a wide range of audiences to support decision makers.

Proactively learn new data science methods and ideas to ensure that you can work across a range of projects, you will be fully supported to learn throughout your time in the team.

Implement new and changing policies within area of responsibility taking into account, Trust, Local and National Guidelines.

Analyse large amounts of information to discover trends and patterns.

Correlate analysis with information from a variety of external sources (including demographic data, social deprivation, census etc.).

Create automation processes for the management of key population health datasets on an ongoing basis.

To use robust statistical and analytical techniques and a range of software to interpret highly complex data gathered from a wide variety of sources.

Use complex queries written in SQL to interrogate data.

Present information using data visualisation techniques.

Required to plan and organise analysis workload including ongoing updating of an analysis workplan. Requiring adjustment due to fluctuating workload, prioritising unpredictable and conflicting demands.

Use statistical and mathematical modelling techniques such as logistic regression and simulation to inform analysis.

Contribute to research papers, research proposals and policies on an ongoing basis.

Perform within an environment where intense concentration is required throughout the day on a wide variety of complex issues.

Regularly conducts data quality audits to ensure the maintenance of quality outputs.

Frequent VDU use is required for this post for periods exceeding 4 hours at a time.

Keep up to date with prescribed mandatory training within the trust.

Person Specification

Qualifications

Essential

  • Degree

Experience

Essential

  • Experience of using programming languages for data science
  • Experience of processing and manipulating data using database languages
  • Advanced data analysis skills in MS Excel
  • Working knowledge of MS office 365
  • Ability to understand a broad range of complex information quickly
  • Ability to analyse complex information and situations and develop a range of options
  • Must be able to manage complex and sensitive data
  • Engage with peers to obtain data
  • Being able to explain complex statistical/analytical matters to senior stakeholders
  • Ability to use informed knowledge to influence others

flexibility

Essential

  • Adaptable, flexible with the ability to cope with uncertainty and change
  • Able to work from home using MS Teams and to maintain effective contact with other team members
  • When necessary be able to attend in person meetings/events at various locations

Other

Essential

  • Ability to work on own initiative with minimal supervision
  • Ability to plan and organise analysis activities
  • Can demonstrate analysis activities to trainees within the team
  • Have Effective organisation, influencing and networking skills
  • Problem solving skills and the ability to respond under pressure
  • Demonstrate a strong desire to improve the population health and make a difference

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

Closing Date: 05 June 2024

To apply for this job please visit apps.trac.jobs.