Find a job 
Featured Companies 
Featured Universities 
For Companies 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.
- 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.
- Other info: Collaborate with both technical and non-technical teams in a dynamic environment.
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 mgojzewski@trg-uk.com
Data Scientist employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨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, TensorFlow, 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, model tuning, and how you communicate complex ideas to non-technical stakeholders.
✨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!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, ML frameworks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 team. Be sure to mention your experience with LLMs and any specific tools from our tech stack.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in ML or data pipelines, include them! We love seeing practical applications of your knowledge, especially if they relate to the health and wellbeing sector.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at trg.recruitment
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Python, scikit-learn, and TensorFlow. Brush up on your knowledge of LLM frameworks and data pipelines using Spark and Kafka, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or deployed ML models. Highlight your experience with Databricks and MLflow, and be ready to explain how you approached challenges and what the outcomes were.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to health and wellbeing, and how they handle sensitive data. This shows your genuine interest in the role and helps you assess if the company aligns with your values.
