At a Glance
- Tasks: Analyse big data to enhance mental health services and patient care.
- Company: Join the NHS Digital team making a difference in healthcare.
- Benefits: Generous pension, 27 days holiday, and funded professional development.
- Other info: Exciting opportunity for growth in a supportive environment.
- Why this job: Be at the forefront of AI in healthcare, driving impactful change.
- Qualifications: Degree in Data Science or related field; experience with Python/R.
The predicted salary is between 60460 - 67263 £ per year.
East London NHS Foundation Trust is seeking a Data Analyst specialised in AI for Big Data projects applied to mental health and community services. The NHS is implementing AI systems and big data analytics to improve patient care, optimise resources, and develop predictive tools for early intervention.
Main Responsibilities:
- Analyse large volumes of clinical and administrative data from the NHS
- Develop dashboards and visualisations for data-driven decisions
- Collaborate with clinical teams to identify improvement opportunities through AI
- Implement predictive models for waiting list management and resource allocation
- Ensure compliance with NHS Digital standards and GDPR
Essential Requirements:
- Degree in Data Science, Statistics, Computer Science or related field
- Experience with Python/R and BI tools (Tableau, PowerBI)
- Knowledge of healthcare databases (HL7, FHIR)
- Understanding of NHS standards and UK health data regulations
NHS Benefits:
- Generous NHS pension
- 27 days holiday + bank holidays
- Funded continuous professional development
Closing date: 22 February 2026
Source reference: NHS Jobs Portal (jobs.nhs.uk)
Healthcare AI Data Analyst - NHS Digital employer: Evidenzia
East London NHS Foundation Trust is an exceptional employer, offering a dynamic work environment where innovation in healthcare meets data analysis. With a strong commitment to employee development, generous benefits including a robust pension scheme and ample holiday allowance, and the opportunity to contribute to meaningful projects that enhance patient care through AI and big data, this role promises not only professional growth but also the chance to make a real difference in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Healthcare AI Data Analyst - NHS Digital
✨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 Evidenzia!
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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 Evidenzia.
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We think you need these skills to ace Healthcare AI Data Analyst - NHS Digital
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 Evidenzia, 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 Evidenzia. 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 Evidenzia
✨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 Evidenzia!
✨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.
