Data and AI Lead - Healthcare in London

Data and AI Lead - Healthcare in London

London Full-Time 42787 - 52295 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead Data and AI initiatives in the healthcare sector, driving innovation and transformation.
  • Company: Join Kainos, a people-first tech company focused on impactful solutions.
  • Benefits: Competitive salary, supportive growth culture, and collaborative team environment.
  • Other info: Be part of a diverse team that values creativity and celebrates success.
  • Why this job: Shape the future of healthcare with cutting-edge technology and make a real difference.
  • Qualifications: Experience in data and AI, with strong leadership and collaboration skills.

The predicted salary is between 42787 - 52295 £ per year.

hackajob is partnering directly with Kainos to hire for this role.

Join Kainos and Shape the Future

At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact.

Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people-first culture

, where your ideas are valued, your growth is supported, and your contributions truly make a difference.

Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark?

Join us and be part of something bigger.

Data & AI Lead for Healthcare

Role Overview

As a Data & AI Lead for Healthcare you will support Pre-Sales and will play a critical role in shaping and delivering Data and AI opportunities across Kainos' £100m Healthcare business.

You will work closely with our Healthcare Chief Technology Officer,

Data and AI Lead - Healthcare in London employer: Hackajob

Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.

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Contact Details:

Hackajob Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data and AI Lead - Healthcare in London

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Apply Directly through Our Website

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We think you need these skills to ace Data and AI Lead - Healthcare in London

Data Analysis
AI Implementation
Pre-Sales Support
Healthcare Industry Knowledge
Collaboration Skills
Problem-Solving Skills
Technical Leadership

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!

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Craft a Tailored Cover Letter:For a full-time role at Hackajob, 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 Hackajob. 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 Hackajob

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!

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Get Comfortable with Python and R

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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.