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For Companies At a Glance
- 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 or Masters in a research-based subject; experience in actuarial pricing or statistical modelling required.
- Other info: High demand for this role, so apply quickly if you're a good fit!
The predicted salary is between 48000 - 84000 £ per year.
This range is provided by Arthur Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Overview
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
Qualifications
- PhD/Masters in a research based subject
- Experience of actuarial pricing or statistical modelling
- Knowledge of R or Python
Seniority level
- Associate
Employment type
- Full-time
Job function
- Finance
Industries
- Insurance
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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 commitment to 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 your interview.
✨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 crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your background in data science and your experience with predictive/machine learning models align with the responsibilities of the role.
Showcase Relevant Projects: If you have worked on projects involving predictive modelling or data analysis, include these in your application. Briefly describe the project, your role, and the outcomes to demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential in the field of data science.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R or Python in detail. Highlight specific projects where you've built predictive or machine learning models, and be ready to explain the methodologies you used.
✨Understand the Insurance Landscape
Familiarise yourself with the personal lines insurance sector, particularly home and motor insurance. Being able to discuss current trends and challenges in this area will demonstrate your genuine interest and knowledge.
✨Prepare for Case Studies
Expect to tackle case studies or technical questions during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and problem-solving abilities.
✨Communicate Effectively
Since you'll be producing reports and presentations, practice summarising complex actuarial analyses in a way that's easy to understand. This will help you convey your findings to stakeholders effectively during the interview.
