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- Tasks: Join a high-performing team to drive data-driven pricing strategies using machine learning.
- Company: Emerging Insurtech with a focus on innovation and collaboration.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Ideal for proactive self-starters looking to thrive in a dynamic environment.
- Why this job: Make a real impact in the insurance industry with cutting-edge data science techniques.
- Qualifications: 3-8 years in personal lines insurance and strong technical pricing skills.
The predicted salary is between 50000 - 70000 £ per year.
I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London; however, this role can be fully remote.
Required skills:
- Proactive self-starter with a can-do attitude — essential for thriving in a small team environment where initiative and independent working are key.
- Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable.
- 3 to 8 years of experience within personal lines insurance is required.
Remote Machine Learning Data Scientist employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Machine Learning Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the Insurtech space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects or any pricing models you've worked on. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss how you've used Python and data science techniques in real-world scenarios, especially in pricing contexts.
✨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 show your enthusiasm for joining our community.
We think you need these skills to ace Remote Machine Learning Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: Let us see your enthusiasm for data in your application! Share specific examples of how you've used data to drive decisions or improve processes in your previous roles. This will help us understand your proactive nature and how you can contribute to our team.
Highlight Relevant Experience: Make sure to emphasise your experience with technical pricing and any exposure to machine learning or Python. We want to know how your background aligns with the role, so don’t hold back on showcasing your skills and achievements in these areas!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience fits with the requirements listed in the job description, especially your familiarity with WTW Emblem and personal lines insurance. This shows us that you’ve done your homework and are genuinely interested.
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 makes the process smoother for both you and us!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Stuff
Make sure you brush up on your technical pricing knowledge, especially around WTW Emblem and machine learning techniques. Be ready to discuss how you've applied these skills in your previous roles, as this will show your expertise and passion for the field.
✨Show Your Proactivity
Since they’re looking for a proactive self-starter, come prepared with examples of how you've taken initiative in past projects. Think about times when you identified a problem and took steps to solve it independently—this will demonstrate that you can thrive in a small team environment.
✨Get Familiar with Their Tools
If you have experience with Python or any specific tools they use, make sure to highlight that. If you don’t, consider doing a bit of research or even a quick tutorial before the interview. Showing that you’re willing to learn and adapt will impress them.
✨Ask Insightful Questions
Prepare some thoughtful questions about their pricing system and how they integrate traditional models with machine learning. This not only shows your interest in the role but also gives you a chance to demonstrate your understanding of the industry and the challenges they might face.