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.
- Why this job: Make an impact by working with cutting-edge ML technologies.
- Qualifications: Experience in Python, LLM frameworks, and data pipelines.
- Other info: Collaborate with a dynamic team and grow your career.
The predicted salary is between 43200 - 72000 £ per year.
We are hiring a Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You will work with engineering to move models from idea to production.
Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes.
Salary: Up to £100k
Working Environment: Fully Remote in UK
What you will do:
- Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing)
- Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost
- Create data pipelines for batch and streaming with Spark and Kafka
- Use Databricks and MLflow for experiments, deployment, and monitoring
What you will bring:
- Hands-on Python for data science and ML
- Practical experience with LLM frameworks (e.g. LangChain)
- Familiarity with Spark/Kafka and end-to-end pipeline experience
- Experience with Databricks, MLflow, Docker, Kubernetes
- Clear communication with technical and non-technical stakeholders
If you are interested, apply below or email me directly at mmatysik@trg-uk.com.
Data Scientist in Hull employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Hull
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML models, or 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 noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in Hull
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! Tell us why you’re passionate about data science and how you can contribute to our mission. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool projects using scikit-learn, PyTorch, or any of the tools in our tech stack, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
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 updates. Plus, we love seeing applications come through our own platform!
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. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully built and deployed ML models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you stand out as a candidate who can 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 current projects, or how they handle sensitive data. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
