Job summary
As Healthcare becomes more complex, there is a growing need to understand and interpret large data sets to provide insight and support for people to make the best informed decisions.
The BI, Insight and Analytics team is at the forefront of this. You will work with your colleagues to drive our analytical capabilities to supporting population health management as well as performance and demand reporting to all business areas.
The Data Scientist will support the organisation to be intelligence led based on quality analytics to enable effective health and care planning, resource allocation and decision making. The role will work with the senior data scientist to deliver analyses, predictive data analytics and modelling, to provide evidence for strategic and operational decisions supporting the Norfolk & Waveney ICB and wider ICS in shaping healthcare.
Priorities include improving system flow and integration, ensuring the right service is in the right place at the right time for people and making the best use of resources to improve outcomes and reduce the impact of inequalities.
The post holder will have an understanding of advanced analytical and statistical methods together with comprehensive knowledge of visualisation methods and techniques. They will have good working knowledge of relevant analytical and data extraction/processing tools including, but not limited to, SQL, R, Python and Power BI.
Main duties of the job
We are looking for a data scientist with skills in R/ Python, Power BI, and collaborative working. A team player who can learn from and teach others, working as part of the BI, Insight and Analytics team.
The post holder will:
- Assist in the design, production, and maintenance of reports and data science products as code, including but not limited to reproducible analytical pipelines
- Be expected to suggest ways to improve analysis and dashboard implementation
- Work with others in the team to identify and structure problems, to iteratively produce analytical outputs to meet requirements
- Interpret and explain analysis to both analysts and non-analysts within the ICS
- Assist with the creation and delivery of training internally as well as where appropriate externally
- Work to produce quality output, including clean, readable code, and documentation, and promote and disseminate the work of the team accordingly
- Proactively learn and share new data science methods and ideas to ensure that the team can work across a range of our projects, the post holder will be fully supported to learn throughout their time in the team
- Be a team player, sharing skills and knowledge, contributing to skills development, and learning from others in the wider data science community
About us
You will be working in a small centralised team supporting the Integrated care Board (ICB) but with close collaboration with all our Health and social care partners across Norfolk and Suffolk.
The work is varied, dynamic and interesting, with an excellent team environment. The team now largely work from home with occasional requirements to attend the office, but agile working is available. There are flexible working opportunities.
Job description
Job responsibilities
Key responsibilities for the role will include:
- Working with large, linked datasets drawn from health, community, social care
- Applying research, statistical, epidemiological, analytical and modelling methods to complex problems
- Developing analysis and visualisations to help make the best use of resources, understand variation and opportunities for improvement
- Forecasting to enable better understanding of what might happen in the future
- Developing demand and capacity modelling to support recovery plans and understanding of system flow
- Understanding the needs of the local population and the effectiveness of the services they receive
- Identifying and understanding drivers of ill health and local inequalities in health and care provision
- Identifying cohorts and segments of the population who might benefit from interventions
- Writing code in a variety of languages, including Python and/or R and developing the programming skills of others
- Act as a role model and mentor for more junior colleagues.
Job description
Job responsibilities
Key responsibilities for the role will include:
- Working with large, linked datasets drawn from health, community, social care
- Applying research, statistical, epidemiological, analytical and modelling methods to complex problems
- Developing analysis and visualisations to help make the best use of resources, understand variation and opportunities for improvement
- Forecasting to enable better understanding of what might happen in the future
- Developing demand and capacity modelling to support recovery plans and understanding of system flow
- Understanding the needs of the local population and the effectiveness of the services they receive
- Identifying and understanding drivers of ill health and local inequalities in health and care provision
- Identifying cohorts and segments of the population who might benefit from interventions
- Writing code in a variety of languages, including Python and/or R and developing the programming skills of others
- Act as a role model and mentor for more junior colleagues.
Person Specification
Communication skills
Essential
- Experience communicating complex analysis to non-analytical professionals and senior managers e.g. in the form of briefing papers, presentations, training sessions
Data Science Analytical skills
Essential
- Good data science analytical skills and awareness of various analytical methods and techniques associated with model building, forecasting, segmentation, time series analysis etc. Looking for statistical, machine learning skills and experience
Statistical software knowledge
Essential
- Excellent programming skills in R or Python for data wrangling and manipulation, machine learning, geospatial analysis, visualisation, interpretation and dissemination of insight.
Other analytical skills and experience
Essential
- Analytical skills and experience of various descriptive, predictive and prescriptive analytical methods and techniques. For example, standardisation for different populations, benchmarking, risk stratification, system dynamics and other approaches to model and understand complex systems, epidemiological methods
Other technological / software skills and experience
Essential
- Skills and experience with Power BI, Excel, SQL, system dynamics (e.g. R, Stella, Vensim etc.)
Project management
Essential
- Demonstrated capability to design and manage own projects, plan over short, medium and long-term timeframes
Person Specification
Communication skills
Essential
- Experience communicating complex analysis to non-analytical professionals and senior managers e.g. in the form of briefing papers, presentations, training sessions
Data Science Analytical skills
Essential
- Good data science analytical skills and awareness of various analytical methods and techniques associated with model building, forecasting, segmentation, time series analysis etc. Looking for statistical, machine learning skills and experience
Statistical software knowledge
Essential
- Excellent programming skills in R or Python for data wrangling and manipulation, machine learning, geospatial analysis, visualisation, interpretation and dissemination of insight.
Other analytical skills and experience
Essential
- Analytical skills and experience of various descriptive, predictive and prescriptive analytical methods and techniques. For example, standardisation for different populations, benchmarking, risk stratification, system dynamics and other approaches to model and understand complex systems, epidemiological methods
Other technological / software skills and experience
Essential
- Skills and experience with Power BI, Excel, SQL, system dynamics (e.g. R, Stella, Vensim etc.)
Project management
Essential
- Demonstrated capability to design and manage own projects, plan over short, medium and long-term timeframes
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.
