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For Companies At a Glance
- Tasks: Build predictive models and analyse data to drive pricing strategies.
- Company: Leading Insurtech company with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for growth.
- Why this job: Join a dynamic team and make a real impact in the insurtech space.
- Qualifications: 1-2 years of analytical experience and proficiency in SQL and Python.
- Other info: Collaborative environment with a focus on professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading Insurtech company is looking for a Data Scientist to join their pricing team in London, with the flexibility for remote work. You will build and innovate predictive models, collaborate with analysts for actionable insights, and utilize SQL and Python for data analysis.
The ideal candidate has:
- 1-2 years of analytical experience
- A strong numerate degree
- Proficiency in data science libraries
Join a growing team to make significant impacts on pricing strategies.
Remote Pricing Data Scientist - Insurtech Growth in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Pricing Data Scientist - Insurtech Growth in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your SQL and Python prowess. This hands-on example can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and scenarios. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Remote Pricing Data Scientist - Insurtech Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our pricing team. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any predictive models or data analysis projects, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Science Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your knowledge of data science libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects.
✨Showcase Your Analytical Experience
With 1-2 years of analytical experience required, prepare to share specific examples of your work. Think about projects where you built predictive models or collaborated with others to derive actionable insights, and be ready to explain your thought process.
✨Understand the Insurtech Landscape
Familiarise yourself with the insurtech industry and current trends. Being able to discuss how pricing strategies are evolving in this space will show your genuine interest and help you stand out as a candidate.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company's growth plans, and how they measure success in pricing strategies. This shows you're engaged and serious about the opportunity.
