Are you committed to helping us regulate health and social care within England?
When thinking about what drives you every day in your job, what keeps you motivated and passionate about your work what comes to mind? For 3000+ people at the CQC we end each day knowing that we have made a difference to the lives of those most in need in our communities. We make sure health and social care services provide people with safe, effective, compassionate, high-quality care and encourage care services to improve. We are looking for people who are caring, demonstrate integrity and work well as part of a team to join with us and share in this sense of achievement. If you would like to help us make a positive impact to health and social care within England then read on.
Within CQC we are implementing a new strategy and transforming how we work so that we can keep pace with the changing health and care landscape and ensure people receive safe, effective care. Becoming a data and insight-driven organisation is a critical component of our new operating model.
We are transforming the way we use data and insight across the organisation, and we are looking for talented individuals to join us on this journey.
About the role...
The purpose of this role is to undertake and advise on advanced analysis, including the use of data science and statistical methods, generating insight to support CQC’s needs. The role will be varied working across a wide range of quantitative and qualitative data and leading the delivery of new approaches and techniques for CQC.
We are implementing a modern technology stack and a new data strategy giving you the tools to be creative and to have impact.
We are looking for people who are passionate, curious, innovative and proactive. You care about using your data science and analytical skills to shine a light on vital issues and topics for health and social care and want to work somewhere where your skills will make a difference to people and communities.
There are three new Data Scientist roles available across in the Data & Insight function. One role is in the Analytic Content function and two roles in the Strategic Insight function.
The Analytic Content function is responsible for developing and maintaining key analysis to support how CQC regulates services. Analysts and data scientists in the team develop measures of quality and risk about health and care services, using a wide range of internal and external datasets and applying the most appropriate analytical methodologies.
The Strategic Insight function is responsible for leading CQC’s national and thematic analysis to inform CQC strategic priorities. We use data and analytics to explore national issues and priorities in health and social care, we are proactive and forward-looking seeking to spot new changes, emerging risks or issues. We trial new data sets and new methodologies to help us best understand emerging trends. We support the organisation to make decisions about where we should focus and invest our resources and we support CQC’s Independent Voice – providing the public and our stakeholders with independent analysis on the most important issues in health and social care.
What you will bring…
We are looking for strong knowledge of a range of analytical and data science methods and approaches and how to apply them to a variety of problems. You’ll also have good working knowledge of a range of data tools including R, Python, SQL, Power BI, or similar.
If you have previous experience of delivering of advanced analytics and/or data science projects, with sound stakeholder management and teamwork skills, then we’d love to hear from you.
Please ensure that you use the Additional Information section of the application form to provide a Supporting Statement demonstrating your transferrable skills and experience. Please also indicate your preference of function within your Supporting Statement.
What the role involves…
Leadership and delivery of data science analysis/projects, including: prepare and shape data for analytical purposes, undertake complex quantitative analysis, establish statistical relevance and application of insights.
Design, engineer and enhance automated statistical and machine learning algorithms to derive insight from data.
Collaborate with qualitative specialists to deliver automated qualitative analysis, develop NLP solutions.
Work using agile delivery approaches to deliver MVP outputs, testing and iterating solutions to optimise over time.
Support development of metrics and KPIs, making sure they are robust, relevant and appropriate.
Design and undertake appropriate quality control and assurance for delivery of output, ensuring statistical rigour.
Work with other stakeholders and colleagues to develop and implement outputs for effective business use, including specifying data and methodology requirements.
Provide coaching and training to colleagues in data manipulation, analytical methods and data science. Identify requirements for training and develop programmes and materials.
Provide direction and guidance to peers and junior colleagues, including line management and development of teams, where required.
Promote a strong data culture across CQC in line with the organisational data strategy.
Role modelling inclusive behaviours in line with our values in everyday interactions
What we can offer you...
CQC is a truly inclusive organisation where all our people are valued, can thrive and make a difference. We have a strong culture of learning and development and provide flexibility of working patterns and locations.
In addition to your salary, we offer:
Fully remote or office-based working
Flexible working patterns
Communities of practice to come together, share information, ideas and learnings
Formal learning through training, conferences, coaching and mentoring
Generous annual leave entitlement. At least 27 days, plus bank holidays, increasing to 32 days with continuous service
NHS pension scheme
A range of other benefits including: the Headspace mindfulness application, discount schemes for high street retailers, cycle to work scheme and free employee assistance service.
Skills and Experience:
Educated to degree level in a subject with substantial statistical or data science content, or equivalent professional experience.
Excellent coding skills across a range of tools, preferably in R, Python and SQL.
Experience of analysing large and complex data sets.
Experience of applying statistical methodology and/or machine learning techniques.
Familiarity with natural language processing concepts and experience in their practical use.
Experience of planning, managing and delivering data science projects.
Strong decision-making skills and capability to make sound judgement with limited supervision.
Ability to identify problems and lead the delivery of solutions and preventative measures, escalating where appropriate.
Proven ability to understand stakeholder needs, manage stakeholder expectations and influence at all levels on the use of data and insight.
Proven ability to tailor the communication of insight in the most appropriate and compelling way for the audience, including through storytelling and visualisation.
Desirable Skills and Experience:
Knowledge and understanding of the health and care sectors.
Experience of using record-level health and care datasets.
Experience working with data engineer and architecture teams to implement and automate solutions.
Grade B - £37,694 - £45,092 (National Framework) or £42,712 - £50,110 (London Framework – if you are London office based or homebased and live within the boundary of the M25). There is also an additional homeworking allowance of £514 per annum for those working from home.
Contracted Hours: Full time 37 hours per week
Contract Type: Permanent
Closing date: Sunday 19 June 2022 at 11.59pm
For an informal discussion or further information on the role, please contact Caroline Fletcher, Head of Strategic Insight, Caroline.Fletcher@cqc.org.uk or Lisa Annaly, Head of Analytic Content, Lisa.Annaly@cqc.org.uk
CQC is committed to promoting a fair and inclusive workplace where all our people can flourish and reach their full potential. We know diverse teams allow for a more creative and productive environment and therefore encourage applications from everyone regardless of: age, gender/sex, gender identity or expression, religion or belief, disability, ethnicity or sexual orientation.
Excellence – Meeting our challenge to be a high-performing organisation
Caring – Treating everyone with dignity and respect
Integrity – Demonstrating our passion for ‘doing the right thing’
Teamwork – Enabling us to be the best we can