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- 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: Hands-on Python experience and familiarity with LLM frameworks required.
- Other info: Dynamic team environment with opportunities for growth and innovation.
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 people in the industry, attend meetups, and connect 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 Python, ML, and LLM frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and 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 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 Your Projects: If you've worked on any cool projects using scikit-learn, PyTorch, or any of the other tools we use, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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.
✨Prepare Real-World Examples
Think of specific projects where you've built or deployed ML models. Be ready to discuss the challenges you faced and how you overcame them. This shows your practical experience and problem-solving skills, which are crucial for a Data Scientist role.
✨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, their data practices, or the team dynamics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
