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Actuarial Data Scientist

1 month ago


Camden Area, United Kingdom The Emerald Group Ltd, Search and Selection Full time
Our client is a leading independent consultancy that uses powerful analytics fused with human expertise to shape a more positive future. They provide market-leading capabilities across pensions and financial services, energy, health, and analytics. Their technology and analytics capabilities are fundamental to what they do, helping them power the possibilities that provide solutions for tomorrow.nWithin the Insurance Analytics team they are passionate about applying the latest analytics techniques to actuarial work and are keen to work with people who share their passion. Their market leading analytics platform is used by some of the largest insurers in the world to assess over £150bn reserves.

Some of the things they have done so far include:nUsing machine learning to automatically identify and highlight trends in insurers’ data and deploying this to production using AzurenAnalysis to assess the impact of key factors including weather, age of vehicle and driver region on the reserves of a large UK motor insurernBuilding stochastic simulation models in R to support one of the largest reinsurance placements in the London Market

What’s the role and what will you be doing?nDue to the success of the team, they are looking for someone to help them develop further and deliver more consulting analytics projects to insurers. They are looking for individuals with experience in delivering analytics projects to non-life insurers in Python. Experience with R and/or working with cloud computing (preferably Azure) would be beneficial but is not essential.

Specifically, you will be:nWorking within their dynamic team of actuaries, data scientists and software developersnUsing your insurance, data science and actuarial knowledge to design and implement analytics solutions to non-life insurance problems, using modern techniques whilst considering practicalities such as the amount of data available and explicabilitynWorking on the development and implementation of new features including delegating work to more junior members of the team. Day to day, this will involve writing and reviewing Python code in Pycharm, using version control, writing tests, and deploying code to production in AzurenDeveloping prototypes of new analytics solutions and supporting the wider Insurance Consulting team in using these solutions in consultancy projects (e.g. new analytics solutions, analysing large datasets and building automated processes)nWorking on consulting projects, primarily those requiring Python and/or analytics techniques, but also occasionally working on broader projects where necessary, these projects would be across pricing, reserving, capital and claimsnTraining more junior members of the team in Python and applying statistical and machine learning techniques to solve business problems effectivelynPlanning and executing work in reasonable timescales to stipulated or agreed deadlinesnChecking work you have completed, and/or reviewing work completed by more junior members of the team, including performing reasonableness checks using your knowledge of non-life insurance and actuarial work

What are they looking for?nTo transform actuarial work you need to have a good understanding of the work actuaries do for insurers, you don’t have to be an actuary thoughnYou’re happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essentialnTrack record of applying statistical and machine learning techniques to solve business problems for non-life insurersnExperience working in a controlled coding environment, including using version control and a testing frameworknExcellent presentation and communication skills, able to give concise summaries of analytics solutions, but also comfortable answering detailed technical questions

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