At a Glance
- Tasks: Analyse clinical data and develop dashboards to enhance patient care.
- Company: Evidenzia, a forward-thinking company working with the NHS in London.
- Benefits: Generous NHS pension, 27 days of holiday, and a supportive work environment.
- Other info: Join a dynamic team focused on predictive care and innovation.
- Why this job: Make a real difference in healthcare using AI and data analysis.
- Qualifications: Degree in Data Science and experience with Python/R and BI tools.
The predicted salary is between 40000 - 50000 € per year.
Evidenzia busca un Analista de Datos especializado en IA para el NHS en Londres. El candidato será responsable de analizar datos clínicos, desarrollar dashboards y colaborar con equipos clínicos para mejorar la atención al paciente.
Se requiere:
- Un grado en Data Science
- Experiencia en Python/R y herramientas de BI
Se ofrecen beneficios como una generosa pensión NHS y 27 días de vacaciones.
Cierre de solicitudes: 22 febrero 2026.
Healthcare AI Data Analyst - Drive Predictive Care & Dashboards in London employer: Evidenzia
Evidenzia is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets healthcare. With a strong commitment to employee development, we provide extensive training opportunities and a supportive culture that values collaboration and creativity. Our generous benefits package, including an NHS pension and 27 days of annual leave, ensures that our team members are well taken care of while making a meaningful impact on patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Healthcare AI Data Analyst - Drive Predictive Care & Dashboards in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for us.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python/R and BI tools. This will give potential employers a taste of what we can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data analysis and predictive care. We should also be ready to discuss our past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Healthcare AI Data Analyst - Drive Predictive Care & Dashboards in London
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 data analysis, Python/R, and any relevant BI tools. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about improving patient care through data. Share specific examples of your past work that relate to the job description.
Showcase Your Technical Skills:Since this role requires strong technical skills, be sure to mention your proficiency in Python/R and any BI tools you've used. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Evidenzia
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially in relation to healthcare. Be prepared to discuss how you've used Python or R in past projects, and think of specific examples where your analysis led to improved patient care.
✨Showcase Your Dashboard Skills
Since developing dashboards is a key part of the role, come ready to talk about any BI tools you've used. If possible, bring along a portfolio or examples of dashboards you've created that demonstrate your ability to present complex data clearly.
✨Collaborate Like a Pro
This role involves working closely with clinical teams, so be prepared to discuss your experience in collaborative environments. Think of instances where you successfully communicated technical information to non-technical stakeholders and how that improved project outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how they measure the success of their predictive care initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
