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- Tasks: Join a high-performing team to drive data-driven pricing strategies using Python and 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.
Data Scientist, Python, Machine Learning, Remote in Bolton employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote in Bolton
✨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 data science projects, especially those involving Python and machine learning. This will give 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 Emblem GLM models or similar tools in your past roles. Confidence in your expertise can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to connect with opportunities that match your skills and passion. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote in Bolton
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. 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!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention the in-house pricing system and how your experience relates to it. This shows us that you’ve done your homework and are genuinely interested in joining our team.
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 everyone involved!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and machine learning. Be ready to discuss how you've applied these techniques in real-world scenarios, particularly in pricing contexts. This will show that you not only understand the theory but can also implement it effectively.
✨Show Your Proactive Side
Since the role requires a proactive self-starter, think of examples from your past where you took the initiative. Prepare stories that highlight your ability to work independently and contribute to team success. This will demonstrate that you're a great fit for their small, high-performing team.
✨Familiarise Yourself with Emblem GLM
If you have experience with WTW Emblem, be prepared to discuss it in detail. If not, do some research on how traditional GLM models work and how they integrate with machine learning. Showing that you understand their in-house pricing system will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to pricing and data science. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation during the interview.