LCP is a leading independent consultancy that uses powerful analytics fused with human expertise to shape a more positive future. We provide market-leading capabilities across pensions and financial services, energy, health, and analytics. Our technology and analytics capabilities are fundamental to what we do, helping us power the possibilities that provide solutions for tomorrow. We strive to help our clients leverage the latest technology and analytics across a range of industries to stay at the forefront of data-driven and digital solutions.Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.Within the Insurance Analytics team we are passionate about applying the latest analytics techniques to actuarial work and are keen to work with people who share our passion. Our market leading analytics platform, LCP InsurSight, was launched in April 2020, and is used by some of the largest insurers in the world to assess over 150bn reserves.Some of the things we have done so far include:Using machine learning to automatically identify and highlight trends in insurers data and deploying this to production in InsurSight using AzureAnalysis to assess the impact of key factors including weather, age of vehicle and driver region on the reserves of a large UK motor insurerBuilding stochastic simulation models in R to support one of the largest reinsurance placements in the London MarketWhats the role and what will you be doing?Due to the success of the team, we are looking for someone to help us develop LCP InsurSight further and deliver more consulting analytics projects to insurers. We 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:Working within our dynamic team of actuaries, data scientists and software developersUsing 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 explicabilityWorking on the development and implementation of new features in InsurSight, 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 AzureDeveloping 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)Working 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 claimsTraining more junior members of the team in Python and applying statistical and machine learning techniques to solve business problems effectivelyPlanning and executing work in reasonable timescales to stipulated or agreed deadlinesChecking 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 workWorking within LCPs internal professional standards and external professional guidanceWhat are we looking for?To transform actuarial work you need to have a good understanding of the work actuaries do for insurers, you dont have to be an actuary though!Youre happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and Rs Tidyverse packages would be beneficial but is not essential.Track record of applying statistical and machine learning techniques to solve business problems for non-life insurersExperience working in a controlled coding environment, including using version control and a testing frameworkExcellent presentation and communication skills, able to give concise summaries of analytics solutions, but also comfortable answering detailed technical questionsWhats in it for you?Take a look at our Glassdoor page to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people-first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently, our core benefits package includes:For you:Professional study support (where applicable)Access to our internal Wellbeing, LGBTQ+, Multicultural and Womens networksFor your family:Life assuranceIncome protectionEnhanced maternity/paternity/adoption and shared parental leaveFor your health:26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy 'sell holidayPrivate medical insuranceDiscounted gym memberships, critical illness and dental insurance through our flexible benefitsCycle to work schemeDigital GP servicesFor your wealth:Discretionary bonus schemeSeason ticket loansFor others:Volunteering opportunitiesFor the environment:Electric vehicle salary sacrifice scheme (qualifying period applies)And much more!We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation.LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - accessibilityaware@lcp.uk.com to discuss how we can support you with your application.LCP currently holds a sponsorship license for skilled worker visas, allowing us to assist with applications aligning with the UK Government's criteria for skilled worker sponsorship. If you anticipate needing sponsorship for a skilled worker visa, we recommend reviewing the sponsorship criteria for your desired role before applying to LCP.#J-18808-Ljbffr
Job Title
Actuarial Data Scientist