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For Companies At a Glance
- Tasks: Lead data projects to improve healthcare, using analytics and predictive modeling.
- Company: Join NHS Midlands and Lancashire, making a real impact on millions of lives.
- Benefits: Competitive salary, inner London HCA, and opportunities for professional growth.
- Why this job: Be at the forefront of healthcare innovation, shaping policies and improving patient outcomes.
- Qualifications: Masters in STEM or equivalent experience; strong coding skills in SQL or Python required.
- Other info: Work in a dynamic environment with a focus on data-driven decision-making.
The predicted salary is between 43745 - 59593 £ per year.
Employer: NHS Midlands and Lancashire Commissioning Support Unit
Employer type: NHS
Site: 10 South Colonnade, Canary Wharf, London
Salary: £43,745 – £59,593 + Inner London HCA as appropriate
Salary period: Yearly
Closing: 10/03/2025 23:59
Interview date: 24/03/2025
Senior Data Scientist
NHS AfC: Band 7
Job Overview
The Senior Data Scientist/Econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will work on and lead the delivery of a range of projects, focusing on data and analytical aspects. You will provide specialist advice and guidance on the use of data and analytics to the HEU, informing how we deliver projects and achieve clients’ aims. 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 lead data and analytics aspects of projects. Responsibilities include:
- Building predictive models for admissions/discharges to optimise resources and reduce bottlenecks in emergency departments.
- Analysing health disparities across populations, identifying factors like socio-economic status 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 such as readmission rates or disease progression, supporting proactive care.
- Developing econometric models to evaluate healthcare policy effects on patient health, utilisation, and costs.
- Analysing complex datasets, identifying trends, and selecting methods for data cleaning, processing, and analysis.
- Following and contributing to best practices in data analysis.
- Managing software for statistical analysis, including procuring and implementing improvements.
- Developing and implementing policies for HEU and CSU teams.
- Quality-assuring team outputs.
- Acting independently as a subject-matter expert within guidelines.
- Supporting business development and contributing to data science proposals by scoping projects and estimating costs.
Person Specification
Experience
- Masters degree in a related STEM subject or equivalent level of experience of working at a similar level in a similar setting.
- Varied experience of extracting data, manipulating, understanding, transforming, wrangling, cleaning, and storing health data, at a managerial level.
- 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.
- Varied experience working in data and analytics functions in the NHS, at a managerial level.
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Senior Data Scientist employer: Wales Medicines Strategy Group
Contact Detail:
Wales Medicines Strategy Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with predictive modeling and machine learning in your discussions. Highlight specific projects where you've successfully implemented these techniques, especially in a healthcare context.
✨Tip Number 2
Familiarize yourself with the latest trends in health data analytics and be prepared to discuss how you can apply them to improve patient outcomes. This shows your commitment to staying current in the field.
✨Tip Number 3
Prepare examples of how you've managed complex datasets and ensured data quality in previous roles. Being able to articulate your approach to data cleaning and processing will demonstrate your expertise.
✨Tip Number 4
Since this role involves advising on data and analytics, practice articulating your thought process clearly. Be ready to explain how you would approach specific challenges faced by the NHS in data utilization.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, especially in data analysis, predictive modeling, and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly any work related to healthcare analytics. Emphasize your skills in SQL, Python, and any econometric modeling you've done.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background and skills to the specific needs of the NHS Midlands and Lancashire Commissioning Support Unit. Mention your passion for improving healthcare through data insights.
Highlight Relevant Projects: In your application, include specific examples of projects where you have successfully applied data science techniques, especially those that align with the duties listed in the job description, such as predictive modeling or analyzing health disparities.
How to prepare for a job interview at Wales Medicines Strategy Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you built predictive models or applied machine learning techniques, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand Healthcare Context
Familiarize yourself with current healthcare challenges and how data science can address them. Be ready to discuss how your work can impact patient care and resource optimization, showing that you understand the broader implications of your role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you analyzed complex datasets or developed econometric models, and be ready to explain your thought process and outcomes.
✨Demonstrate Leadership and Collaboration
As a Senior Data Scientist, you'll need to lead projects and collaborate with various teams. Share examples of how you've successfully managed projects or mentored others, emphasizing your ability to guide teams towards achieving their goals.
