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- Tasks: Support local teams with data and models on mortality improvements.
- Company: Join a leading company focused on innovative data solutions in the insurance sector.
- Benefits: Enjoy a permanent role with opportunities for growth and collaboration.
- Why this job: Be part of a dynamic team making impactful decisions through data science.
- Qualifications: Qualified or part-qualified actuary with experience in analytical roles and coding skills.
- Other info: Work in a vibrant London office with a focus on teamwork and innovation.
The predicted salary is between 48000 - 72000 £ per year.
The Company is looking for an individual with strong analytical and coding skills to fill a global role supporting local business teams with data, models, and insight related primarily to mortality improvements.
Location: London
Category: Data Science
Type: Permanent
Key Duties (Including but not limited to):
- Builds and maintains software related to modelling and forecasting mortality rates and future improvements in the markets and geographies in which the Company writes business.
- Works with stakeholders across the business to help them understand the tools and models that are on offer, and troubleshoot any issues that arise.
- Writes high quality code in R or Python and understands how to structure what they write such that it is readable, maintainable, and reusable.
- Works with a range of stakeholders across the organization to understand their needs and prioritize potential projects.
Qualifications:
- Qualified or part-qualified actuary.
- Work (or postgraduate research) experience in an analytical role.
- Experience of demographic/biometric research or assumption setting.
- Experience of using R or Python in a work or research environment.
- Exposure to working in and/or with Actuarial teams in the insurance industry.
Actuarial Data Scientist – 28641 employer: The Emerald Group
Contact Detail:
The Emerald Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuarial Data Scientist – 28641
✨Tip Number 1
Familiarise yourself with the latest trends in mortality modelling and forecasting. Understanding current methodologies and tools used in the industry will help you engage in meaningful conversations with stakeholders during interviews.
✨Tip Number 2
Brush up on your coding skills, particularly in R and Python. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to write clean, maintainable code, as this will be crucial for the role.
✨Tip Number 3
Network with professionals in the actuarial and data science fields. Attend relevant meetups or webinars to connect with individuals who can provide insights into the company culture and expectations, which can give you an edge in your application.
✨Tip Number 4
Prepare to discuss your experience with demographic and biometric research. Be ready to share specific examples of how you've applied your analytical skills in previous roles, as this will demonstrate your capability to handle the responsibilities outlined in the job description.
We think you need these skills to ace Actuarial Data Scientist – 28641
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Actuarial Data Scientist position. Familiarise yourself with the key duties mentioned in the job description, such as coding in R or Python and working with stakeholders.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your analytical skills, coding proficiency, and any experience in demographic or biometric research.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and actuarial work. Mention specific projects or experiences that demonstrate your ability to build models and work collaboratively with teams.
Highlight Technical Skills: In your application, clearly outline your technical skills, particularly in R and Python. Provide examples of how you've used these languages in previous roles or research to solve problems or improve processes.
How to prepare for a job interview at The Emerald Group
✨Showcase Your Coding Skills
Be prepared to discuss your experience with R and Python. Bring examples of your code or projects that demonstrate your ability to write high-quality, maintainable code. This will show the interviewers that you have the technical skills they are looking for.
✨Understand Mortality Modelling
Familiarise yourself with mortality rates and forecasting models. Be ready to explain how you would approach building and maintaining software for these purposes. Showing a solid understanding of the subject matter will impress the interviewers.
✨Engage with Stakeholders
Prepare to discuss how you would work with various stakeholders across the business. Think of examples where you've successfully communicated complex data insights or resolved issues. This will highlight your collaborative skills and ability to translate technical information.
✨Demonstrate Analytical Thinking
Be ready to showcase your analytical skills through problem-solving scenarios. You might be asked to think on your feet, so practice articulating your thought process clearly. This will help convey your capability in handling complex data challenges.
