NHS Data Consultant: Dashboards, Quality & EPR Insight in England

NHS Data Consultant: Dashboards, Quality & EPR Insight in England

England Full-Time 37338 - 44962 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support NHS digital transformation through data migration, dashboard development, and quality assurance.
  • Company: Join SCFH, a key player in the NHS's digital journey.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a transformative project with significant impact on patient care.
  • Why this job: Make a real difference in healthcare by enhancing NHS data systems.
  • Qualifications: Experience with NHS datasets, EPR systems, and strong communication skills.

The predicted salary is between 37338 - 44962 £ per year.

SCFH, located in the United Kingdom, seeks an experienced NHS Data Consultant to aid in a digital transformation programme within the NHS. You will be critical in supporting data workstreams, including data migration, dashboard development, and ensuring data quality.

The ideal candidate will have experience with NHS datasets and EPR systems, as well as strong communication skills to work with various stakeholders. This is a fantastic opportunity to make a significant impact on the NHS's digital success.

NHS Data Consultant: Dashboards, Quality & EPR Insight in England employer: SCFH

SCFH is an exceptional employer that values innovation and collaboration, providing a dynamic work environment where NHS Data Consultants can thrive. With a strong commitment to employee development, we offer numerous growth opportunities and a supportive culture that encourages meaningful contributions to the NHS's digital transformation. Located in the UK, our team enjoys a unique chance to make a real difference in healthcare while benefiting from a flexible work-life balance and comprehensive benefits.

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Contact Details:

SCFH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land NHS Data Consultant: Dashboards, Quality & EPR Insight in England

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SCFH!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like NHS Data Consultant: Dashboards, Quality & EPR Insight at SCFH.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SCFH.

Apply Directly through Our Website

When you find a suitable opening like NHS Data Consultant: Dashboards, Quality & EPR Insight at SCFH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace NHS Data Consultant: Dashboards, Quality & EPR Insight in England

Data Migration
Dashboard Development
Data Quality Assurance
NHS Datasets
EPR Systems
Communication Skills
Stakeholder Engagement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at SCFH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SCFH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at SCFH

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SCFH!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.