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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: Earn up to £100k with flexible remote work options.
- Why this job: Make an impact by working on innovative ML projects with cutting-edge tech.
- Qualifications: Experience in Python, LLM frameworks, and data pipelines is essential.
- Other info: Collaborate with diverse teams and enjoy a dynamic work environment.
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 Warrington employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Warrington
✨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 Warrington
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 data science projects, make sure to mention them! Whether it's using TensorFlow or building data pipelines, we want to see what you've done and how it relates to the job.
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 get all the latest updates from us. Don’t miss out!
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 your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain your past projects involving machine learning models and how you’ve deployed them. Practising coding problems or case studies related to data science can also help you feel more confident when tackling these questions.
✨Communicate Clearly
Since the role involves liaising with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you would describe your work to someone without a technical background. This will demonstrate your ability to bridge the gap between different teams.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach problem-solving in data science. Share specific examples of challenges you've faced in previous roles and how you overcame them. This not only highlights your technical skills but also your critical thinking and adaptability, which are crucial in a regulated environment.
