At a Glance
- Tasks: Research and deploy machine learning features in a fully remote role.
- Company: Join a forward-thinking company focused on health and wellbeing.
- Benefits: Competitive salary up to £100k and fully remote work in the UK.
- Other info: Collaborate with both technical and non-technical teams in a dynamic environment.
- Why this job: Make an impact by working with cutting-edge ML technologies and sensitive data.
- Qualifications: Experience in Python, LLM frameworks, and data pipeline development.
The predicted salary is between 43200 - 72000 £ per year.
A UK-based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases.
You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.
Tech stack:
- Python
- PyTorch or TensorFlow
- scikit-learn
- Spark
- Kafka
- Databricks
- LangChain and RAG-based GenAI systems
- Cloud-native Azure environment
Important Details:
- Fully remote across the UK
- Up to £80,000 - £100,000 (DOE)
- 2-3 stage interview process
- No sponsorship available
Interested, or know someone who would be? Click apply or get in touch directly on
Data Scientist in Plymouth employer: trg.recruitment
As a fully remote employer, we prioritise flexibility and work-life balance, allowing our Data Scientists to thrive in a supportive environment. We offer competitive salaries, opportunities for professional growth, and the chance to work with cutting-edge technologies in the health and wellbeing sector, making a meaningful impact on sensitive data applications. Join us to be part of a collaborative culture that values innovation and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Plymouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Scientists on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and LLM features. This is your chance to demonstrate your hands-on experience with Python, scikit-learn, and other tools mentioned in the job description.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines, Spark, and how you communicate complex ideas to non-technical stakeholders. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s get you on board!
We think you need these skills to ace Data Scientist in Plymouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, ML frameworks, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our mission at StudySmarter. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on any projects involving LLMs or data pipelines, make sure to mention them. We love seeing practical examples of your work, especially if they relate to our tech stack!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at trg.recruitment
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like Python, scikit-learn, and TensorFlow. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data science and how you overcame them. Use examples that highlight your ability to research, prototype, and deploy ML features, especially in regulated environments.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to bridge that gap is crucial. Think of examples where you've successfully communicated your ideas.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to health and wellbeing, their use of LLMs, or their data pipeline processes. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
