We are Central East ICB, the new organisation entrusted with serving more than 3.5 million people across Bedfordshire, Luton, Milton Keynes, Cambridgeshire and Peterborough and Hertfordshire.
We are responsible for making sure that the NHS can continue to support our community – now, and in the future. Everything we do will be guided by our core purpose: to do what best serves the population of this area.
We promise to focus on what makes the biggest difference to people’s lives – acting earlier to help prevent illness and detect disease and making it easier for our community to get the health care they need, closer to home, whenever that’s possible.
If you need support with the application process, please contact our People Team at [email protected].
Read about our priorities in our strategy document, Our Way.
Job overview
The Senior Data Scientist is a senior technical specialist within the Strategic Value Unit, working across the integrated Strategic Value Unit and Population Health Unit function. The postholder will independently lead complex analytical projects using advanced data science methods to support strategic commissioning, population health management and evaluation.
Working within the professional standards and assurance arrangements established by the Lead Data Scientist, the postholder will develop robust analytical products, translate complex findings into practical insight and support their implementation. They will work across disciplines and contribute to peer review, reproducible practice, technical development and capability building.
Proposed Interview Dates: 19th - 20th November
Advert
The Senior Data Scientist will independently lead substantial analytical projects from problem definition and data specification through modelling, validation, interpretation, implementation and monitoring. They will select proportionate methods, work within established professional standards and ensure that findings are transparent, reproducible and appropriately interpreted.
The role will:
- lead complex analytical projects supporting strategic planning, commissioning, population health management and evaluation;
- apply appropriate advanced statistical, data science and operational research methods;
- develop, validate and implement analytical products, assessing performance, uncertainty, limitations and potential bias;
- apply established standards for reproducible programming, documentation, peer review and model lifecycle management;
- translate complex analysis into clear recommendations and support stakeholders to implement analytical products;
- contribute to technical supervision, shared analytical assets and development of data science capability.
Working for our organisation
We are committed to promoting equal opportunities to achieve equity of access, experience and outcomes and to recognising and valuing people’s differences. We are passionate about creating an inclusive workplace that promotes and values diversity; we see this as a strength and part of our founding mission, values and behaviours. We know through experience that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers patient outcomes.
We are committed to creating the best place to work, where your contribution is valued, your wellbeing is supported and all our colleagues can reach their full potential. We welcome and encourage applications from all areas of the community, who meet the criteria for the role, regardless of their protected characteristic. We work to ensure that our recruitment processes are as inclusive as possible to everyone, including making adjustments for people who have a disability or long-term condition and support with the recruitment process for people with lived experience.
We are happy to discuss flexible working options for all roles.
We operate a Carer friendly working environment that is supportive and inclusive. We actively encourage Carers to self-identify themselves.
We are a Disability Confident Employer and commit to shortlisting suitable applicants who meet the essential criteria for an interview. Please inform us of any adjustments you may require.
Detailed job description and main responsibilities
A. Advanced analytics and modelling
· Independently lead complex analytical projects using appropriate statistical, data science and operational research methods.
· Select proportionate methods that reflect the decision context, data quality, implementation requirements and limitations of the evidence.
· Provide technical advice on analytical methods and interpretation within own areas of expertise.
B. Strategic commissioning, population health and evaluation analytics
· Lead advanced analysis of population need, inequalities, demand, utilisation, capacity, outcomes and variation to support strategic planning and commissioning.
· Apply analytical methods to option appraisal, population segmentation, targeting, pathway redesign and neighbourhood-level decision-making.
· Lead defined data science components of evaluations and contribute to multidisciplinary evaluation of services, programmes and interventions.
· Integrate quantitative findings with clinical, public health, economic, operational and qualitative evidence.
C. Analytical products, data and quality assurance
· Develop, validate and implement analytical products supporting strategic and operational decisions, clearly defining their intended use, population, outcomes, assumptions and limitations.
· Apply proportionate validation, sensitivity analysis, peer review and documentation; assess performance and potential bias across population groups.
· Work with large, complex and linked health and care datasets, assessing quality, provenance, linkage and fitness for purpose and working with relevant colleagues to secure authorised access.
· Use R and/or Python, SQL, version control, structured code, testing and automated reporting to produce transparent and reproducible analysis.
· Support monitoring, review and recalibration of operational products, escalating material concerns and contributing reusable code, templates and analytical assets.
D. Insight, communication and implementation
· Work with commissioners, clinicians and other decision-makers to define analytical questions and translate findings into clear, actionable recommendations.
· Communicate methods, assumptions, uncertainty and limitations clearly to technical and non-technical audiences, particularly where analysis may influence significant service or resource decisions.
· Provide constructive technical challenge where methods or interpretations are unsupported, and support stakeholders to implement analytical products and assess their benefit.
E. Professional contribution and project delivery
· Undertake peer review and quality assurance in line with standards established by the Lead Data Scientist.
· Provide technical supervision, coaching and support to analytical colleagues and contribute to shared methods, standards and resources.
· Manage priorities, risks and dependencies within assigned projects and support delivery of the wider data science work programme.
· Promote reproducibility, transparency, inclusion, methodological rigour and continuous learning.
Please Note:
- This vacancy may close before the advertised closing date if a sufficient number of suitable applications are received. We recommend submitting your application early to avoid disappointment.
- Successfully shortlisted applicants will be contacted by email with an invitation to interview.
- Please note that we do not pay interview expenses, all costs are incurred by the candidate.
Notes on completion of applications:
- All reference requests will be made to your employer/previous employers' HR Department, covering the previous 3 years of activity.
- We are committed to safeguarding and promoting the welfare of children, young people and vulnerable adults, and expect all staff to undertake this commitment. Applicants will be subject to robust safer recruitment processes.
- All eligible staff will need to have gained clearance through a standard/enhanced DBS check prior to working.
- All posts are subject to a probationary period.
Senior Data Scientist in Ely employer: Central East Integrated Care Board
At Central East ICB, we pride ourselves on being an exceptional employer dedicated to fostering a diverse and inclusive workplace that values every individual's contribution. Our commitment to employee wellbeing, flexible working options, and professional development ensures that our team members can thrive while making a meaningful impact on the health of over 3.5 million people in our community. Join us in creating a supportive environment where your skills are recognised, and you can grow alongside a passionate team focused on delivering high-quality patient care.
Contact Details:
Central East Integrated Care Board Recruitment Team
