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.
- Other info: Ideal for tech-savvy individuals eager to make an impact in the insurance industry.
- 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.
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) in Manchester employer: Arthur Recruitment
Join a leading Personal Lines Insurer that values innovation and professional growth, offering a fully remote Data Science Actuary role. With a strong emphasis on collaboration and the latest technologies, you'll have the chance to enhance your skills while contributing to strategic advancements in actuarial analyses. Enjoy a supportive work culture that prioritises employee development and provides opportunities to make a meaningful impact in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Actuary (PHD Graduates) in Manchester
✨Tip Number 1
Familiarise yourself with the latest data science techniques and tools relevant to actuarial pricing. This could include online courses or webinars that focus on predictive modelling and machine learning, which are crucial for this role.
✨Tip Number 2
Network with professionals in the insurance and actuarial fields. Attend industry conferences or join relevant online forums to connect with others who can provide insights into the company and its culture.
✨Tip Number 3
Prepare to discuss your experience with R or Python in detail during interviews. Be ready to share specific examples of projects where you've applied these programming languages to solve complex problems.
✨Tip Number 4
Stay updated on trends in personal lines insurance and how data science is shaping the industry. This knowledge will help you demonstrate your passion for the field and your ability to contribute to strategic changes within the team.
We think you need these skills to ace Data Science Actuary (PHD Graduates) in Manchester
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 important to prepare for interviews by thinking about how you would discuss your analyses and findings. Be ready to explain your thought process and the impact of your work on stakeholders.
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.
