Actuarial Data Scientist – 28641

The Emerald Group; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a talented individual to join their data science team in London. This role involves building and maintaining software that models and forecasts mortality rates, providing valuable insights to local business teams. The ideal candidate will possess strong analytical and coding skills in R or Python, with experience in demographic and biometric research. You'll work closely with various stakeholders, ensuring that their needs are met while troubleshooting any issues that arise. If you're passionate about data and looking to make an impact in the insurance industry, this opportunity is perfect for you.

Qualifications

• Strong analytical and coding skills required for data modeling.
• Experience in demographic/biometric research is essential.

Responsibilities

• Build and maintain software for modeling mortality rates.
• Collaborate with stakeholders to troubleshoot and improve tools.

Skills

Analytical Skills

Coding in R

Coding in Python

Demographic Research

Biometric Research

Education

Qualified or Part-Qualified Actuary

Postgraduate Research Experience

Tools

R

Python

Job description

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
• 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