At a Glance
- Tasks: Analyse clinical data and create dashboards to enhance patient care.
- Company: Evidenzia, a forward-thinking company working with the NHS in London.
- Benefits: Generous NHS pension, 27 days 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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data analysis fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to showcase your experience with Python/R and BI tools through practical examples or mini-projects.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application, send a friendly email to express your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Check out our website for more job opportunities! We regularly update listings, and applying directly through us can give you an edge in the hiring process.
We think you need these skills to ace Healthcare AI Data Analyst - Drive Predictive Care & Dashboards
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Healthcare AI Data Analyst. 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 Python and R. Be ready to discuss how you've used these tools in past projects, as well as any specific libraries or frameworks that are relevant to healthcare analytics.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with BI tools and how you've created dashboards in the past. Bring examples of your work if possible, and be ready to explain the thought process behind your designs and how they improved decision-making.
✨Understand the Healthcare Context
Familiarise yourself with the NHS and current trends in predictive care. Being able to discuss how data analysis can enhance patient care will show your genuine interest in the role and the impact of your work.
✨Collaborative Mindset
Since the role involves working with clinical teams, be prepared to discuss your teamwork experiences. Highlight instances where you've successfully collaborated with others to achieve a common goal, especially in a healthcare setting.
