Actuarial Data Science Manager

Eames Consulting; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking an Actuarial Data Science Manager to enhance pricing models and support risk selection. This role involves utilizing advanced statistical techniques and machine learning to develop innovative data science solutions. You will work closely with a diverse team of actuaries, data engineers, and analysts to implement technical rating models and optimize portfolio profitability. If you are passionate about data science and actuarial practices, this opportunity offers a dynamic environment to make a significant impact on underwriting strategies.

Qualifications

• Technical actuarial experience is required.
• Experience in applying statistical techniques and machine learning.

Responsibilities

• Lead the application of statistical techniques and machine learning.
• Collaborate with actuaries and data engineers on data science solutions.

Skills

Statistical Techniques

Machine Learning

Data Science Solutions

Technical Rating Models

Education

Actuarial Qualification

Job description

A leading Lloyd's insurer is seeking an Actuarial Data Science Manager to join their team.

The Actuarial Data Science Manager will lead the application of advanced statistical techniques and machine learning to improve pricing models, evaluate model performance, and support risk selection within underwriting teams.

This role involves close collaboration with actuaries, data engineers, and analysts to develop and implement data science solutions in technical rating models, digital trading strategies, and portfolio profitability assessments.

Qualifications: The candidate must have technical actuarial experience.

If interested, please apply below or contact us for more information: [e-mail] // [phone]

Eames Consulting is acting as an Employment Agency in relation to this vacancy.