Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead exciting projects in Data Science and AI to enhance patient care.
- Company: Join a global leader in healthcare, making a real difference in people's lives.
- Benefits: Enjoy hybrid work options and a dynamic work environment.
- Why this job: Be at the forefront of innovation in healthcare technology with a supportive team.
- Qualifications: 5+ years in Data Science, expertise in Machine Learning and NLP required.
- Other info: Opportunity to work with cutting-edge Generative AI technologies.
The predicted salary is between 43200 - 72000 £ per year.
A Global Health Care Leader based in Central London is currently searching for a Data Scientist to help lead initiatives within a newly established Data Science and Artificial Intelligence capability.
The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care.
Location: Hybrid in London (2/3 days per week)
- Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP.
- Expertise in building production pipelines, using Python.
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Machine-Learning or Artificial-intelligence)
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Machine Learning. Follow industry leaders on social media and engage with their content to stay updated and demonstrate your passion during interviews.
✨Tip Number 2
Network with professionals in the healthcare data science field. Attend relevant meetups or webinars to connect with others who work in similar roles, as personal connections can often lead to job opportunities.
✨Tip Number 3
Showcase your practical experience by working on projects that involve building production pipelines using Python. Consider contributing to open-source projects or creating a portfolio that highlights your skills in NLP and deep learning.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and machine learning problems. Use platforms like LeetCode or HackerRank to sharpen your skills, ensuring you're ready to impress with your technical knowledge.
We think you need these skills to ace Data Scientist (Machine-Learning or Artificial-intelligence)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, Machine Learning, and AI. Focus on specific projects where you've designed solutions or built production pipelines using Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving patient outcomes through technology. Mention any relevant experience with Generative AI, Deep Learning, or Natural Language Processing to demonstrate your fit for the role.
Showcase Relevant Projects: Include a section in your application that showcases specific projects or case studies where you successfully implemented Data Science or AI solutions. This will help illustrate your hands-on experience and problem-solving skills.
Highlight Soft Skills: Don't forget to mention soft skills that are crucial for collaboration in a hybrid work environment. Emphasise your ability to communicate complex ideas clearly and work effectively within a team.
How to prepare for a job interview at Lawrence Harvey
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant libraries you've used for Machine Learning and NLP. Bring examples of projects where you've built production pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the Global Health Care Leader's initiatives and how they utilise Data Science and AI to improve patient outcomes. This knowledge will help you align your answers with their goals and show your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to Generative AI or Deep Learning. Practise articulating your thought process clearly, as interviewers will be looking for your analytical skills and problem-solving approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future challenges in the Data Science and AI space within the company. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
