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- Tasks: Conduct research and develop data pipelines using ML and LLM in health tech.
- Company: Leading recruitment firm offering a fully remote role within the UK.
- Benefits: Competitive salary up to £100k and flexible remote work options.
- Why this job: Join a cutting-edge team and make a real impact in health technology.
- Qualifications: Experience with Python, scikit-learn, TensorFlow, and strong communication skills.
- Other info: Work in a regulated environment with exciting career growth opportunities.
The predicted salary is between 60000 - 84000 £ per year.
A leading recruitment firm seeks a Data Scientist to work fully remote within the UK, focusing on ML and LLM features in a regulated environment. The successful candidate will conduct research, deploy use cases, and develop data pipelines using a modern tech stack including Python, scikit-learn, TensorFlow, and Docker. Clear communication with stakeholders is essential, and a salary of up to £100k is offered.
Remote Data Scientist — ML & LLM in Health Tech in Leeds employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist — ML & LLM in Health Tech in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the health tech space on LinkedIn or attend virtual meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML and LLM projects. Use GitHub to share your code and document your thought process. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Python, scikit-learn, and TensorFlow. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience in regulated environments and your communication skills with stakeholders.
We think you need these skills to ace Remote Data Scientist — ML & LLM in Health Tech in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML and LLM, especially in health tech. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in health tech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with a solid grasp of Python, scikit-learn, TensorFlow, and Docker, make sure to mention specific projects or experiences where you’ve used these tools. We love seeing practical applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at trg.recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python, scikit-learn, TensorFlow, and Docker. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Prepare for ML & LLM Questions
Since the role focuses on machine learning and large language models, review key concepts and recent advancements in these areas. Be prepared to explain your understanding of algorithms, model evaluation, and deployment strategies, as well as any relevant experience you have.
✨Communicate Clearly
As clear communication with stakeholders is essential, practice explaining complex technical concepts in simple terms. You might be asked to present your findings or ideas, so think about how you can convey your message effectively to non-technical audiences.
✨Showcase Your Research Skills
Be ready to discuss any research you've conducted, especially in a regulated environment. Highlight your ability to develop data pipelines and deploy use cases, and share specific examples of how your research has led to successful outcomes in previous roles.
