At a Glance
- Tasks: Join a dynamic team to analyse data and enhance pricing strategies using advanced models.
- Company: Be part of an innovative Insurtech that's transforming the insurance landscape.
- Benefits: Enjoy the flexibility of remote work and a collaborative team culture.
- Other info: This role is fully remote, allowing you to work from anywhere.
- Why this job: Make a real impact in a growing company while developing your data science skills.
- Qualifications: 3-8 years in personal lines insurance with strong technical pricing and data science experience.
The predicted salary is between 43200 - 72000 £ 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.
Pricing Data Scientist (Remote) in Leigh employer: Arthur Recruitment
Join an innovative Insurtech that values initiative and creativity, offering a fully remote Pricing Data Scientist role where you can thrive in a dynamic, high-performing team. With a strong focus on employee growth and development, the company fosters a collaborative work culture that encourages the use of cutting-edge technology and data science techniques to drive impactful results. Enjoy the flexibility of remote work while being part of a forward-thinking organisation that is shaping the future of insurance.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist (Remote) in Leigh
✨Tip Number 1
Familiarise yourself with the specific pricing models mentioned in the job description, particularly WTW Emblem and machine learning techniques. Being able to discuss these in detail during your interview will show your technical expertise and enthusiasm for the role.
✨Tip Number 2
Highlight your proactive nature by preparing examples of how you've taken initiative in previous roles. This could be through projects where you identified a problem and implemented a solution independently, which is crucial for thriving in a small team environment.
✨Tip Number 3
Network with professionals in the Insurtech space, especially those who work with pricing data science. Engaging in conversations on platforms like LinkedIn can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your experience in personal lines insurance comprehensively. Be ready to share specific examples of how your background aligns with the requirements of the role, as this will demonstrate your suitability and understanding of the industry.
We think you need these skills to ace Pricing Data Scientist (Remote) in Leigh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in pricing and data science, particularly any work with WTW Emblem or machine learning techniques. 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 how your background aligns with the requirements of the role and express your enthusiasm for contributing to a small, high-performing team.
Highlight Relevant Experience:In your application, emphasise your 3 to 8 years of experience in personal lines insurance. Detail any specific projects or roles where you applied your technical pricing knowledge and data science skills.
Showcase Your Technical Skills:Include a section in your CV or cover letter that outlines your technical skills, especially in Python and any machine learning models you've developed. This will help demonstrate your fit for the role and your ability to drive the business forward.
How to prepare for a job interview at Arthur Recruitment
✨Show Your Proactive Side
Emphasise your ability to take initiative and work independently. Share examples from your past experiences where you identified a problem and took the lead in solving it, especially in a team setting.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with pricing models, particularly WTW Emblem. Highlight any projects where you've applied machine learning techniques in Python, as this will showcase your technical skills relevant to the role.
✨Understand the Insurtech Landscape
Research the company and the insurtech industry. Familiarise yourself with current trends and challenges in personal lines insurance, so you can speak knowledgeably about how your skills can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their pricing strategies, team dynamics, or future projects, which shows you're engaged and eager to be part of their journey.
