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For Companies At a Glance
- Tasks: Lead innovative 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 a hybrid work model and a competitive salary with great perks.
- Why this job: Be at the forefront of AI technology, impacting healthcare positively.
- Qualifications: 5+ years in Data Science, with expertise in Machine Learning and NLP required.
- Other info: This is a unique opportunity to shape the future of healthcare technology.
The predicted salary is between 60000 - 84000 £ 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)
Salary: £70,000 to £90,000 + Benefits
Interview Process: 4 Stages
To be considered:
- Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP.
- Minimum one year of experience designing and implementing LLM Solutions.
- Expertise in building production pipelines, using Python.
- Excellent communication skills, both written and verbal.
- Prior experience working in healthcare.
This is one not to be missed, if interested, please apply via the link below.
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Generative AI and LLM solutions during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Join online forums or communities focused on Data Science and AI, particularly those that discuss healthcare applications. This will not only keep you updated on industry trends but also allow you to connect with like-minded individuals who might share job opportunities.
✨Tip Number 3
Consider contributing to open-source projects related to Machine Learning or Natural Language Processing. This demonstrates your skills and commitment to the field, making you a more attractive candidate for the role.
✨Tip Number 4
Prepare for the interview by brushing up on your communication skills. Since excellent verbal and written communication is crucial for this role, practice explaining complex concepts in simple terms to ensure clarity during discussions.
We think you need these skills to ace GenAI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Artificial Intelligence, particularly focusing on Generative AI, Machine Learning, and Natural Language Processing. Use specific examples to demonstrate your expertise in building production pipelines and using Python.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for improving patient outcomes through technology. Mention your relevant experience in healthcare and how it aligns with the company's mission.
Showcase Communication Skills: Since excellent communication skills are essential for this role, consider including a section in your application that highlights instances where you've effectively communicated complex data science concepts to non-technical stakeholders.
Prepare for the Interview Stages: Research common interview questions for Data Scientist roles, especially those related to Generative AI and LLM solutions. Be ready to discuss your past projects and how they relate to the responsibilities of the position.
How to prepare for a job interview at Lawrence Harvey
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Generative AI, Machine Learning, and Natural Language Processing in detail. Bring examples of projects you've worked on, especially those involving LLM solutions, to demonstrate your expertise.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a deep technical background.
✨Highlight Healthcare Experience
Make sure to emphasise any prior experience you have in the healthcare sector. Discuss how your work has contributed to improving patient outcomes, as this aligns closely with the company's mission.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear, concise examples from your past experiences.
