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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’ll 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’ll bring:
- Hands-on Python for data science and ML
- Practical experience with LLM frameworks (e.g. LangChain)
- Familiar with Spark/Kafka and end-to-end pipeline experience
- 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 Portsmouth employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Portsmouth
✨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 in Portsmouth
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 best work!
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
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. You'll need to communicate effectively with both technical and non-technical stakeholders, so think of ways to demonstrate your communication skills during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
