Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build predictive models and develop LLM applications using Python and Spark.
- Company: Leading data-driven company in London, focused on innovation.
- Benefits: Competitive contract rate, flexible working hours, and opportunities for skill enhancement.
- Why this job: Join a dynamic team and leverage your data science skills to make impactful decisions.
- Qualifications: 12+ years in predictive modelling, strong coding skills, and experience with large datasets.
- Other info: Exciting projects in the insurance sector with potential for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Looking for someone with 12+ years of experience in predictive modelling and LLM application building/architecture.
- Python
- Spark
- Efficient data manipulation
- Tree-based and NN-based model training with large data
- Experience with OCR, layout model
- File parsing with various file types
- LLM, RAG
- Experience with using REST API
- Great coding practice
- Communication
Nice to have:
- Databricks
- Sentiment analysis
- Insurance, especially commercial claims experience/knowledge with medical or injuries
Data Scientist in London employer: FalconSmartIT
Contact Detail:
FalconSmartIT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists or industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects, especially those involving LLM applications. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the latest trends in data science. Practice common interview questions related to Python, Spark, and model training.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Experience: When you’re writing your application, make sure to highlight your 12+ years of experience in predictive modelling and LLM application building. We want to see how your skills align with what we’re looking for, so don’t hold back!
Be Specific About Your Skills: Mention your expertise in Python, Spark, and data manipulation. If you've worked with tree-based or neural network models, let us know! The more specific you are, the better we can understand how you fit into our team.
Demonstrate Your Coding Practices: We value great coding practices, so if you have examples of clean, efficient code or projects you’ve worked on, share them! This will give us a glimpse into your coding style and how you approach problem-solving.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the Data Scientist role. We can’t wait to hear from you!
How to prepare for a job interview at FalconSmartIT
✨Know Your Models
Make sure you brush up on your predictive modelling techniques, especially tree-based and neural network models. Be ready to discuss your experience with large datasets and how you've applied these models in real-world scenarios.
✨Show Off Your Coding Skills
Since coding is a big part of the role, practice writing clean and efficient Python code. You might be asked to solve a problem on the spot, so being comfortable with Spark and REST APIs will definitely give you an edge.
✨Communicate Clearly
Data science can get technical, so it's crucial to explain your thought process clearly. Prepare to discuss complex concepts in a way that’s easy to understand, especially if you're talking about OCR or layout models.
✨Bring Relevant Experience
If you have experience in the insurance sector, particularly with commercial claims or medical injuries, make sure to highlight this. It could set you apart from other candidates and show that you understand the industry context.
