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
✨Tip Number 1
Network like a pro! Reach out to current or former employees at NHS Digital on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and data visualisation skills. We should be ready to showcase how we can analyse big data and create impactful dashboards.
✨Tip Number 3
Don’t forget to research NHS Digital’s recent projects and initiatives. Showing that we’re clued up on their work will definitely impress during the interview!
✨Tip Number 4
Apply through our website for a smoother process. It’s the best way to ensure our application gets seen by the right people at NHS Digital!
We think you need these skills to ace Healthcare AI Data Analyst - NHS Digital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Healthcare AI Data Analyst role. Highlight your experience with Python/R and BI tools like Tableau or PowerBI, as well as any relevant projects you've worked on in healthcare data analysis.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about using AI in healthcare and how your skills can help improve patient care. Keep it concise but impactful!
Showcase Relevant Experience:When filling out your application, be sure to showcase any experience you have with NHS standards and regulations. Mention specific projects where you've implemented predictive models or collaborated with clinical teams.
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Evidenzia
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with, especially in healthcare. Brush up on your knowledge of NHS data standards like HL7 and FHIR, as well as any relevant regulations. This will show that you’re not just a tech whiz but also understand the context of your work.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Python or R, and how you've used BI tools like Tableau or PowerBI in past projects. Prepare specific examples where your analytical skills made a difference, especially in healthcare settings. This will help demonstrate your hands-on experience.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world scenarios, such as optimising resources or developing predictive models. Think through potential challenges and solutions beforehand, so you can articulate your thought process clearly during the interview.
✨Collaborate and Communicate
Since collaboration with clinical teams is key, be prepared to discuss how you’ve worked with others in the past. Highlight your communication skills and how you’ve translated complex data insights into actionable recommendations for non-technical stakeholders.
