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For Companies At a Glance
- Tasks: Join a dynamic team to drive data-driven pricing strategies using Python and machine learning.
- Company: Be part of an innovative Insurtech that's transforming the insurance landscape.
- Benefits: Enjoy the flexibility of fully remote work and a collaborative team culture.
- Why this job: Make a real impact in a small team while developing your skills in a cutting-edge field.
- Qualifications: 3-8 years in personal lines insurance with a strong technical pricing background required.
- Other info: Ideal for proactive self-starters eager to thrive in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ 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 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
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, particularly WTW Emblem and Python. Consider taking online courses or working on personal projects that showcase your skills in these areas, as this will demonstrate your proactive nature and technical expertise.
✨Tip Number 2
Network with professionals in the Insurtech space, especially those who work in pricing or data science roles. Engaging with industry groups on platforms like LinkedIn can help you gain insights into the company culture and potentially get referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous experiences in personal lines insurance during interviews. Be ready to share specific examples of how you've applied machine learning techniques or pricing strategies in your past roles, as this will highlight your relevant experience and fit for the position.
✨Tip Number 4
Showcase your ability to work independently by sharing instances where you've taken initiative in your previous roles. This could include leading a project, implementing a new process, or solving a complex problem, as it aligns perfectly with the proactive self-starter quality they are looking for.
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and pricing, particularly any work with machine learning and Python. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your proactive approach. Mention your experience in personal lines insurance and how it aligns with the company's needs. Be sure to express your enthusiasm for working in a small, high-performing team.
Highlight Relevant Skills: In your application, emphasise your technical pricing background and any familiarity with WTW Emblem. If you have experience with retail pricing or other data science techniques, make sure to include those details as well.
Showcase Your Initiative: Since the role requires a proactive self-starter, provide examples of situations where you've taken initiative in previous roles. This could be projects you've led or innovative solutions you've implemented that contributed to your team's success.
How to prepare for a job interview at Arthur Recruitment
✨Show Your Proactivity
Demonstrate your proactive nature by sharing examples of how you've taken initiative in previous roles. Highlight situations where you identified problems and implemented solutions independently, as this is crucial for thriving in a small team environment.
✨Highlight Technical Skills
Be prepared to discuss your technical pricing background in detail. If you have experience with WTW Emblem or similar tools, make sure to mention it. Also, be ready to explain how you've applied machine learning techniques in Python within a pricing context.
✨Understand the Insurtech Landscape
Research the insurtech industry and be familiar with current trends and challenges. This will not only show your passion for the field but also help you engage in meaningful discussions about how data science can drive business forward.
✨Prepare Questions
Have thoughtful questions ready to ask the interviewer. Inquire about the team's dynamics, the company's future plans, and how they envision the role contributing to their goals. This shows your genuine interest in the position and the company.
