Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build models and analyse data to optimise insurance pricing strategies.
- Company: Join a leading personal lines insurer with a rapidly growing team.
- Benefits: Enjoy competitive perks and opportunities for professional growth.
- Why this job: Make an impact by enhancing pricing strategies and collaborating with diverse teams.
- Qualifications: A background in actuarial science or data science is preferred.
- Other info: Opportunity to work with innovative data sources like telematics.
The predicted salary is between 36000 - 60000 £ per year.
We have partnered with a leading personal lines insurer to find them a Pricing Actuary to join their rapidly growing team. This role involves building sophisticated risk, demand, and market models, conducting rigorous analyses, and providing actionable insights to optimise insurance pricing strategies. This role is not limited to but includes:
- Integrating telematics and other novel data sources to enhance pricing sophistication.
- Collaborating with the technical pricing, street pricing, and product teams to implement pricing changes and ensure alignment with business objectives.
- Ensuring robust model validation, back-testing, and continuous model improvement.
- Communicating complex data concepts and model outcomes to technical and non-technical stakeholders through clear data storytelling.
For more information please apply.
Pricing Actuary/Data Scientist employer: High Finance (UK) Limited T/A HFG
Contact Detail:
High Finance (UK) Limited T/A HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Actuary/Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in pricing models and data analytics. Understanding how telematics and novel data sources are being integrated into pricing strategies will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your communication skills, especially in data storytelling. Being able to convey complex data concepts clearly to both technical and non-technical stakeholders is crucial for this role.
✨Tip Number 3
Network with professionals in the insurance and actuarial fields. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 4
Prepare to discuss your experience with model validation and back-testing. Be ready to share specific examples of how you've improved models in the past, as this will demonstrate your hands-on expertise in the field.
We think you need these skills to ace Pricing Actuary/Data Scientist
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Pricing Actuary/Data Scientist position. Understand the key responsibilities, such as building risk models and collaborating with various teams, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience you have in actuarial science, data analysis, or pricing strategies. Be specific about your contributions to model validation and how you've communicated complex data concepts in past roles.
Showcase Technical Skills: Make sure to mention any technical skills relevant to the role, such as proficiency in statistical software, programming languages, or data visualisation tools. This will demonstrate your capability to handle the sophisticated analyses required in the position.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your enthusiasm for the role. Discuss how your background aligns with the company's objectives and your eagerness to contribute to their pricing strategies.
How to prepare for a job interview at High Finance (UK) Limited T/A HFG
✨Understand the Role
Make sure you have a solid grasp of what a Pricing Actuary/Data Scientist does. Familiarise yourself with concepts like risk modelling, demand forecasting, and market analysis. This will help you answer questions confidently and demonstrate your knowledge.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis tools and programming languages relevant to the role, such as R, Python, or SQL. Highlight any projects where you've integrated novel data sources or built models, as this is crucial for the position.
✨Prepare for Data Storytelling
Since the role involves communicating complex data concepts, practice explaining your past work in simple terms. Think about how you can convey your findings to both technical and non-technical stakeholders effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's pricing strategies and how they integrate new data sources. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals.
