Specialist – Data Science & Engineering (BB-8C396)
Found in: Talent IN
Description:Company:Description:Job Tit: Specialist – Data Science & EngineeringLocation: MumbaiMMC Business Unit: Marsh LLCMMC Office Name: Marsh McLennan Global Services India Private Limited (MMGS)MMGS Function: Knowledge ServicesMarsh Advisory is the consultative branch of Marsh, which operates internationally and provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges; whether facing property and casualty, cyber, reputational, or other risks, Marsh Advisory can help.Marsh McLennan Global Services India Private Limited (MMGS) is a global knowledge centre for the MMC Group and houses teams which work closely with the colleagues across various operating units and locations. This position will be based out of our Mumbai, India office of MMGS.What can you expect?We are looking for a hands-on data science professional to join us to support the US based strategic risk consulting teamThe candidate will be working on risk modelling projects which will require – end to end data capture, management as well as building risk-retention models using GLM, Monte-Carlo simulation techniquesIn this role you need to have a research mindset and ability to solve complex business problems using data science and engineering techniquesYou will also be requested to create process automation and make the process efficientThe consulting team actively uses Analytics Hierarchal Process (AHP) to answer complex business problem by innovatively identifying and processing datasetsYou will be required to support and actively provide inputs in the AHP process, and provide prescriptive advice to the clients. You will need to use data science and engineering techniques to implement the processAfter initial prototype and testing, you will be also required to liaise with the Marsh Digital team to put the model into production on Marsh AWS production architectureIs able to harmonise datasets using AI/ML and parse information from scanned PDF documents, or web portalsDevelop, design and test data visualization reports, dashboards, KPIs, and insights in data viz. toolsDevelop tabular and multidimensional models that follow industry best practicePublish and schedule automated refreshes per business requirementsWhat is in it for you?A clear career path with a hybrid of technical track and management track to grow in the company.In the technical track, the candidate will be developing sophisticated actuarial and analytics skill sets in underwriting and pricing complex risks;In the management track, the candidate will develop skills sets in business and sales strategy, communications with clientsYou will need to build insurance domain – and our L&D team will support you with training and developmentWe will count on you to:You will work closely with the actuarial, business and digital colleagues and work on strategic consulting projects – our past projects have been on building several risk quantification models – like Cyber, D&O, Property, Pandemic to highlight a few.You should be able to demonstrate experience in actively participating in the process of building a model, incorporating features, tuning performance, and deploying into production, often working under tight time constraintsCommunicate the solution, its parameters, its assumptions and its inner workings to audiences who vary widely in their levels of technical fluency and seniorityWhat you need to have: An ideal candidate should be from strong data science and programming background who leverages AI/ML techniques to build sophisticated modelsThe candidate should preferably, have experience in insurance/reinsurance industry in their data science & engineering team with up to 2-4 years’ experience. Exceptional candidates from non-insurance background will also be considered.You should be expert in Python and/or R programming and is able to create production level scriptsYou should have worked on VBA Macros and an expert in ExcelYou should have worked on data visualisation tools like TableauYou should have an ability to deploy your model using web technologies, R Shiny or DjangoYou should have an ability to handle data upload/download and create data pipeline procedures using Python and AWSWhat makes you stand out?Strong academic rigour, and students passing with statistics and data science skills from top tier collegesStrong programming skills and technical individual contributorAbility to take initiatives to strive for improvement in analytics techniques, process and output.Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. In today’s increasingly uncertain global business environment, Marsh helps clients to thrive and survive. We are a wholly owned subsidiary of Marsh & McLennan Companies (NYSE: MMC), a global professional services firm offering clients advice and solutions in the areas of risk, strategy, and people. With 76,000 colleagues worldwide and annual revenue approaching $17 billion, Marsh & McLennan Companies also include global leaders Guy Carpenter, Mercer, and Oliver Wyman.
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