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- Tasks: Join the Technical Pricing team to build predictive models and analyse underwriting performance.
- Company: Work with a leading Personal Lines Insurer known for innovation in the insurance sector.
- Benefits: Enjoy fully remote work, flexible hours, and access to cutting-edge technologies.
- Why this job: Be part of strategic change, enhancing models with the latest data science techniques.
- Qualifications: PhD/Masters in a research-based subject; experience in actuarial pricing or statistical modelling required.
- Other info: Opportunity to communicate findings to key stakeholders through reports and presentations.
The predicted salary is between 48000 - 84000 £ per year.
I am working with a leading Personal Lines Insurer who are seeking an individual to join their Technical Pricing team. This team is responsible for specialist actuarial analyses of U/W performance within different products such as Home/Motor. This role offers the opportunity to use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques. This vacancy can be fully remote.
Responsibilities:
- Building predictive/machine learning models
- Predict perils for claims/severity
- Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders
Requirements:
- PhD/Masters in a research based subject
- Experience of actuarial pricing or statistical modelling
- Knowledge of R or Python
Data Science Actuary (PHD Graduates) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Actuary (PHD Graduates)
✨Tip Number 1
Familiarise yourself with the latest trends in data science and actuarial pricing. Being able to discuss recent advancements or technologies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the insurance and data science sectors. Attend relevant webinars or conferences, and connect with industry experts on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your technical skills in R or Python. Consider working on a small project or case study that highlights your ability to build predictive models, as this could be a great talking point during interviews.
✨Tip Number 4
Understand the specific products offered by the insurer, such as Home and Motor insurance. Being knowledgeable about their offerings will help you tailor your discussions and show how you can contribute to their Technical Pricing team.
We think you need these skills to ace Data Science Actuary (PHD Graduates)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD or Masters in a research-based subject, along with any relevant experience in actuarial pricing or statistical modelling. Emphasise your knowledge of R or Python, as these are key requirements for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Science Actuary position and how your background aligns with the responsibilities outlined. Mention specific projects or experiences where you've built predictive models or used data science techniques.
Showcase Your Technical Skills: Include examples of your experience with machine learning models and any relevant technologies you've used. If possible, provide links to projects or publications that demonstrate your expertise in actuarial analyses and data science.
Prepare for Potential Interviews: While this step is not part of the written application, it's good to prepare for interviews by thinking about how you would communicate complex actuarial analyses to stakeholders. Practice explaining your past work and how it relates to the role.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with R or Python during the interview. Be prepared to discuss specific projects where you've built predictive or machine learning models, as this will demonstrate your technical proficiency and relevance to the role.
✨Prepare for Case Studies
Expect to tackle case studies or practical problems related to actuarial pricing or statistical modelling. Practising these types of questions beforehand can help you articulate your thought process and problem-solving skills effectively.
✨Communicate Clearly
Since you'll be producing reports and presentations, it's crucial to demonstrate your ability to communicate complex analyses clearly. Practice explaining your past work in simple terms, focusing on how your findings impacted decision-making.
✨Research the Company
Familiarise yourself with the company's products and their approach to personal lines insurance. Understanding their market position and recent developments will allow you to tailor your responses and show genuine interest in the role.
