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- Tasks: Use advanced analytics and ML to enhance customer acquisition and pricing accuracy.
- Company: Join an award-winning InsureTech company revolutionizing car insurance with cutting-edge data.
- Benefits: Enjoy fully remote work, a collaborative culture, and extensive learning opportunities.
- Why this job: Be part of a growing team that values innovation and offers impactful work in the insurance industry.
- Qualifications: Experience in data science and predictive modeling, especially in pricing or insurance.
- Other info: This is a 12-month FTC role with potential for permanent placement.
The predicted salary is between 40000 - 52000 £ per year.
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This range is provided by Peaple Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Pricing Data Scientist | Fully Remote | Car Insuretch | £50,000-£65,000
Peaple Talent have partnered with an exciting, award-winning InsureTech business. They use cutting-edge Telematics Data to accurately price insurance quotes.
Due to exciting growth plans in the Pricing team, we are now looking for a Pricing Data Scientist.
Day to day responsibilities:
- Applying advanced analytics and ML techniques to drive customer acquisition, retention, and personalised offerings
- Build and refine a range of predictive models to improve pricing accuracy and competitiveness
- Collaborating with various teams to align data strategies with company objectives
We are looking for:
- The ability to create predictive models using machine learning and data science techniques.
- Commercial experience in a pricing / Data Science relevant role
- Industry experience with knowledge of Pricing, Car Insurance or Personal Lines
- The ability to develop pricing models across a range of complexities
What’s in it for you:
Location: Fully remote (Offices across all the UK)
Contract type: 12 Month FTC, to be made permanent
Collaborative culture and great team support
Vast L&D opportunities both internally and externally
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst, Science, and Engineering
Industries
Insurance
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Pricing Data Scientist employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in telematics data and how they impact pricing strategies in the insurance industry. This knowledge will help you stand out during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the InsureTech space, especially those who work with pricing models. Engaging in conversations can provide insights into the company culture and expectations, which can be beneficial when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss specific machine learning techniques you've applied in previous roles. Be ready to explain how these techniques improved pricing accuracy or customer retention, as this aligns closely with the responsibilities of the Pricing Data Scientist position.
✨Tip Number 4
Research the company’s current pricing models and any recent innovations they've implemented. Showing that you understand their approach and can contribute to their growth will make a strong impression during your discussions.
We think you need these skills to ace Pricing Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Pricing Data Scientist position. Make sure you understand the key responsibilities and required skills, especially around predictive modeling and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experience in data science and pricing. Include specific examples of projects where you've applied advanced analytics or machine learning techniques, particularly in the insurance sector.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with the company's goals. Emphasize your commercial experience in pricing and how your skills can contribute to their growth plans in the Pricing team.
Highlight Collaboration Skills: Since the role involves collaborating with various teams, make sure to mention any past experiences where you successfully worked with cross-functional teams to achieve common objectives.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and data science techniques. Highlight specific projects where you've built predictive models, especially in the context of pricing or insurance.
✨Understand the Industry
Familiarize yourself with the car insurance market and telematics data. Being able to discuss current trends and challenges in the industry will demonstrate your genuine interest and knowledge.
✨Collaborative Mindset
Since the role involves working with various teams, emphasize your ability to collaborate effectively. Share examples of past experiences where you successfully aligned data strategies with broader company objectives.
✨Prepare Questions
Have thoughtful questions ready for your interviewer about the company's growth plans and how the Pricing Data Scientist role fits into those plans. This shows your enthusiasm and strategic thinking.
