At a Glance
- Tasks: Join us as a Data Scientist to analyze healthcare data and drive impactful decisions.
- Company: Be part of the NHS consultancy team focused on health economics and data analytics.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a real difference in healthcare by using data to improve patient outcomes and reduce disparities.
- Qualifications: Bachelor's degree in STEM or equivalent experience; coding skills in SQL or Python required.
- Other info: This role may involve working on various research projects and engaging with clients directly.
The predicted salary is between 36000 - 60000 £ per year.
Employer NHS Midlands and Lancashire Commissioning Support Unit
Employer type NHS
Site 10 South Colonnade
Town Canary Wharf
Salary £37,338 – £44,962 per annum
Salary period Yearly
Closing 17/02/2025 23:59
Interview date 10/03/2025
Data Scientist
NHS AfC: Band 6
Job overview
The data scientist / econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will work in a collaborative environment, with data scientists, health economists, project managers, data engineers and other healthcare professionals to extract, transform, and clean data ready for analytical projects. You will work on various research projects as commissioned by our clients under a consultancy model, which will take up to 80% of your time (this may change as the work of the unit evolves).
Main duties of the job
Plan, organise, and deliver data and analytics for projects, including:
- Building predictive models to forecast admissions/discharges, optimising resources and reducing bottlenecks in emergency departments.
- Analysing health disparities across populations by socio-economic factors, geography, or access to care.
- Applying NLP to unstructured data (e.g., clinician notes, patient feedback) for insights into patient needs.
- Using machine learning to predict outcomes like readmission rates or disease progression, supporting proactive care.
- Developing econometric models to assess the impact of healthcare policies on health, utilisation, and costs.
Analyse datasets to identify trends, apply statistical models to solve business problems, and choose appropriate methods for data processing. Follow and improve best practices in data analysis and econometrics. Manage, adapt, and enhance software systems used for analysis.
Develop data and analytics policies affecting HEU, implementing changes once approved. Quality-assure team outputs, ensuring high standards. Act as a subject-matter expert, working independently within guidelines and seeking advice when needed.
Participate in business development meetings, lead proposal writing on data science aspects, understand client aims, plan solutions, and estimate project costs.
Working for our organisation
The HEU is an NHS consultancy of 17 team members across three teams: Health Economics, Service Delivery and Data and Analytics.
You will sit within the data and analytics team, led by the chief analyst and reporting to the lead data scientist/econometrician.
During projects you will work closely across the HEU team, with data scientists, analysts, project managers, and health economists.
You will engage with our clients, partners and stakeholders throughout projects, understanding their needs and communicating your work.
Detailed job description and main responsibilities
Data science function
· Plan, organise and deliver the data and analytic aspects of projects. Projects could include:
o Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments.
o Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities.
o Applying NLP techniques to unstructured text data, such as clinician notes or patient feedback, to extract key information and improve understanding of patient needs and outcomes.
o Using supervised and unsupervised machine learning techniques to predict outcomes such as readmission rates, disease progression, or patient deterioration, aiding proactive care.
o Developing econometric models to evaluate the effects of healthcare policies or interventions on key outcomes, such as patient health, hospital utilisation, or treatment costs.
· Analyse datasets to identify trends and patterns, and applies statistical models to solve business problems; make decisions on appropriate methods for data cleaning, processing, and analysis.
· Follow data analysis and econometrics best practices and contribute to the ongoing development and improvement of these.
· Be able to use, adapt and improve systems and software used to deliver statistical analysis and other functions as required for projects.
· Propose and develop policies and procedures relating to data and analytics, which affect the HEU. Implement changes once agreed with the relevant person or group.
· Appraise and quality assure the analytical outputs from the team.
· Act as a specialist in own area and achieve own objectives. Act independently within established guidelines, escalating and seeking advice as required.
· Undertake business development meetings, supported by colleagues. Lead on and contribute to proposal writing, with a focus on data science aspects of the work. This includes understanding the client aims and scope of project, identifying how we can achieve this, and calculating cost.
Team-working
· Provide guidance to junior team members, demonstrating best practices and assisting with technical challenges.
· Proactively provide training and share knowledge on areas of expertise to the wider unit.
· Deliver training to clients on own area of expertise.
· Work independently on data projects within established guidelines, with advice available when required.
Communication and networking
· Communicate complex information and insights to non-technical stakeholders in a way which can be easily understood. This may be written or oral.
· Write high-quality reports which effectively communicate our findings in an engaging way, focussing on impact and achieving our clients’ goals.
· Be able to synthesise multiple sources to communicate on complex issues.
· Understand client needs and objectives, working with the client and team to find solutions and achieve these goals.
· Make judgements where there are conflicting views and make decisions where necessary, working with all parties to achieve buy-in.
· Contribute to other areas of the HEU to support our wider development as a unit and as a team.
· Proactively work with the senior communications manager to help promote our work, contributing to the communications plan of the HEU and sharing our work so that we contribute to the development of analytics in the NHS.
Project and financial management
· Lead on small projects and work with others to deliver projects to time, scope, budget and quality.
· Plan and organise complex data analysis tasks, ensuring that project timelines are met; adjusts activities based on evolving data requirements.
· Ensure that projects are delivered to budget, including the cost of own time spent on a project, and where potential for budget deviation is identified, flag the issue as early as possible.
· Horizon-scan and identify potential issues before they occur, and work to resolve issues where they do occur.
· Follow all business processes of the HEU.
Person specification
Experience
- Bachelor’s degree in a related STEM subject or equivalent level of experience of working at a similar level in a similar setting
- Experience of extracting data, manipulating, understanding, transforming, wrangling, cleaning, and storing health data
- Ability to write well-designed code (e.g. SQL or Python) which follows good coding standards.
- Possess foundational knowledge in data science, statistical analysis, and machine learning techniques.
- Experience working in data and analytics functions in the NHS.
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Data Scientist employer: Midlands and Lancashire Commissioning Support Unit
Contact Detail:
Midlands and Lancashire Commissioning Support Unit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific healthcare data sets and analytics tools commonly used in the NHS. Understanding the context of your work will help you communicate effectively with stakeholders and demonstrate your expertise during interviews.
✨Tip Number 2
Network with professionals in the healthcare analytics field. Attend relevant conferences, webinars, or local meetups to connect with others who work in similar roles. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data science and machine learning, especially as they pertain to healthcare. Being knowledgeable about current methodologies and technologies will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific projects where you've applied data science techniques to solve real-world problems. Be ready to explain your thought process, the challenges you faced, and the impact of your work on patient outcomes or operational efficiency.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you thoroughly understand the responsibilities and requirements of the Data Scientist position. Highlight your relevant experience in data analysis, machine learning, and econometrics in your application.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job description. Emphasize your proficiency in SQL, Python, and any relevant healthcare data experience.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and its impact on healthcare. Mention specific projects or experiences that demonstrate your ability to analyze data and derive insights.
Showcase Communication Skills: Since the role involves communicating complex information to non-technical stakeholders, provide examples in your application of how you've successfully conveyed technical concepts in an understandable way.
How to prepare for a job interview at Midlands and Lancashire Commissioning Support Unit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data extraction, manipulation, and analysis. Highlight your proficiency in coding languages like SQL or Python, and be ready to provide examples of how you've applied these skills in previous projects.
✨Understand Healthcare Context
Familiarize yourself with the healthcare sector, particularly how data science impacts patient care and hospital operations. Be ready to discuss how you can contribute to improving health outcomes through data-driven insights.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You may need to present your findings to non-technical stakeholders, so being able to communicate effectively is crucial.
✨Demonstrate Team Collaboration
Prepare to discuss your experience working in collaborative environments. Share examples of how you've worked with cross-functional teams, including data engineers and health economists, to achieve project goals.