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- Tasks: Join a dynamic team to drive data-driven pricing strategies using machine learning and Python.
- 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 to 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 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.
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
Showcase your proactive nature by sharing specific examples of how you've taken initiative in previous roles. This could be a project you led or a problem you solved independently, which demonstrates your ability to thrive in a small team environment.
✨Tip Number 2
Familiarise yourself with WTW Emblem and any relevant machine learning techniques. Consider creating a small project or case study that highlights your skills in these areas, as this will not only boost your confidence but also provide concrete evidence of your expertise.
✨Tip Number 3
Network with professionals in the Insurtech space, especially those who work with pricing models. Engaging in discussions on platforms like LinkedIn can help you gain insights into the industry and may even lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience in personal lines insurance during interviews. Be ready to explain how your background aligns with the role and how you can contribute to the team's success, particularly in driving the business forward.
We think you need these skills to ace Remote Machine Learning Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and pricing, particularly any work with WTW Emblem or machine learning models. Use specific examples to demonstrate your skills and achievements.
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 company's needs and express your enthusiasm for contributing to their team.
Highlight Relevant Experience: In your application, emphasise your 3 to 8 years of experience in personal lines insurance. Detail any projects where you applied data science techniques or worked with pricing models to show your suitability for the role.
Showcase Your Technical Skills: Clearly outline your technical skills, especially in Python and any machine learning techniques you've used. Providing examples of how you've applied these skills in a pricing context will strengthen your application.
How to prepare for a job interview at Arthur Recruitment
✨Show Your Proactive Nature
Emphasise your self-starter attitude during the interview. Share specific examples of how you've taken initiative in previous roles, especially in small teams, to demonstrate that you can thrive in a similar environment.
✨Highlight Technical Expertise
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 and explain how you've applied these skills in real-world scenarios.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data science and machine learning. Discuss any relevant projects or experiences where you've used Python or other data science techniques, particularly in a pricing context, to show your commitment to the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in practical situations. Prepare to discuss how you would approach specific challenges in pricing or data analysis, showcasing your analytical thinking and decision-making skills.
