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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 and applying the latest data science techniques.
- Qualifications: PhD or Masters in a research-based subject; experience in actuarial pricing or statistical modelling required.
- Other info: Ideal for tech-savvy individuals eager to make an impact in the insurance industry.
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 data science techniques and tools relevant to actuarial pricing. Being well-versed in R or Python will not only boost your confidence but also demonstrate your technical prowess during discussions.
✨Tip Number 2
Engage with online communities or forums related to data science and actuarial science. Networking with professionals in the field can provide insights into current trends and may even lead to referrals for job opportunities.
✨Tip Number 3
Prepare to discuss your previous research or projects in detail, especially those involving predictive modelling or machine learning. Highlighting your practical experience will set you apart from other candidates.
✨Tip Number 4
Stay updated on the insurance industry, particularly in personal lines. Understanding the market dynamics and challenges faced by insurers will help you articulate how your skills can contribute to their strategic goals.
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 crucial 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 that demonstrate your ability to build predictive models and communicate results effectively.
Showcase Technical Skills: Include a section in your application that showcases your technical skills, particularly in data science techniques and machine learning. Provide examples of how you've applied these skills in previous roles or academic projects.
Prepare for Potential Interviews: While this step is not part of the written application, it's wise to prepare for interviews by reviewing common questions related to actuarial analyses and data science. Be ready to discuss your methodologies and thought processes in detail.
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 be presented with case studies or scenarios related to actuarial analyses. Practise explaining your thought process and how you would approach building models or analysing data, as this will showcase your problem-solving skills.
✨Communicate Effectively
Since you'll need to produce reports and presentations, practice summarising complex data in a clear and concise manner. Being able to communicate your findings to non-technical stakeholders is crucial, so focus on clarity and simplicity.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in data science and actuarial practices. Being knowledgeable about new technologies and methodologies will not only impress your interviewers but also show your enthusiasm for continuous learning and improvement.
