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- 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: Make a real impact in the insurtech space with your data skills.
- Qualifications: 1-2 years of analytical experience and proficiency in SQL and Python.
- Other info: Join a dynamic team and shape the future of pricing strategies.
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, and proficiency in data science libraries. Join a growing team to make significant impacts on pricing strategies.
Remote Pricing Data Scientist - Insurtech Growth 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
✨Tip Number 1
Network like a pro! Reach out to current employees in the Insurtech space on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analysis projects. This is your chance to shine and demonstrate how you can innovate in pricing strategies.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and Python. Be ready to discuss how you've used these tools in past projects, as they’re key to the role and will impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote Pricing Data Scientist - Insurtech Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical experience and any relevant projects you've worked on. We want to see how your skills in SQL and Python can shine through!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the insurtech industry and how you can contribute to our pricing team. Be genuine and let your personality come through!
Showcase Your Skills: If you've got experience with data science libraries, don't hold back! Mention specific tools and techniques you've used in your previous roles that relate to predictive modelling.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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
Prepare to talk about your previous analytical roles. Highlight specific projects where you built predictive models or derived actionable insights. Use concrete examples to demonstrate your impact on pricing strategies.
✨Understand the Insurtech Landscape
Familiarise yourself with the insurtech industry and current trends. Being able to discuss how data science can drive innovation in pricing will show your enthusiasm and understanding of the sector.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the company's approach to data-driven decision-making, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
